Generate table with dimensions of BPC etc in BW

Hi All,
Is it possible to generate a big table in BW which contains all dimensions and the dimension members of the different dimensions and have this table per application set in BPC.
I am looking for a table with column headers like this:
AppSet - Application - Dimension - Dimension Member
Note: When I look in the backend of BPC 7.5 NW we are using over here; so when I look in BW I can see there are different tables...tables for the applications per AppSet, tables containing the dimension for the different applications and tables for the dimension members. What I'd like to do is combine all these in a big file. Is it possible to generate a master data list in BW?
Thank you in advance for you attention.

Hi,
Thats the beauty of [StarSchema|http://help.sap.com/saphelp_nw70ehp1/helpdata/en/4c/89dc37c7f2d67ae10000009b38f889/content.htm].
The star schema is the simplest data warehouse schema. It is called a star schema because its diagram resembles a star: the center (one or more fact tables) is directly joined to its points - the dimension tables.
A star schema is characterized by one or more very large fact tables that contain the primary information in the data warehouse and a number of much smaller dimension tables (or lookup tables), each of which contains information about the entries for a particular attribute in the fact table.
A star query is a join between a fact table and a number of lookup tables. Each lookup table is joined to the fact table using a primary-key to foreign-key join, but the lookup tables are not joined to each other.
A typical fact table contains keys and measures. For example, a simple fact table might contain the measure Sales, and keys Time, Product, and Market. In this case, there would be corresponding dimension tables for Time, Product, and Market. The Product dimension table, for example, would typically contain information about each product entry that appears in the fact table. A measure is typically a numeric or character column, and can be taken from a specified column from the fact table or calculated from two or more columns in one or a few fact tables.
A star join is a primary-key to foreign-key join between a fact table and dimension tables. The fact table normally has a primary-key composed of a few columns.
The main advantages of star schemas are that they:
u2022Provide a direct and intuitive mapping between business entities analyzed by end users and the schema design.
u2022Provide highly optimized performance for typical data warehouse queries.
hope you understand the concept behind storing data in different table instead in a single table.
Thanks,
Raju

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Generating table with large number of columns (256)

Hi,
I don't know if this is right place for posting this:
for data mining purposes I need a table which column names needs to be size N, where N is 2, 3 or 4. Column name is build upon alphabet of nucleotids A,C,T,G and all variations with repetition. For N=2, columns are: AA, AC, AT, AG, CA, CC, CT, CG, TA, TC, TT, TG, GA, GC, GT, GG (4^2 = 16). For N=3, 4^3 = 64, and for N=4 4^4 = 256.
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My questions are:
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I hope that my problem is clear (because of my English).
Thanks in advance.
Regards.

Without knowing the reason for doing so, I would guess, this kind of design is quite poor.
How are you planning to specify your queries? (I do know dynamic SQL would be a possibility ...).
Another point of view:
What if someone decides to have column names built using 5 nucleotids? This would exceed the maximum number of columns of a table which currently (10g, 11g) is 1000?

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Regards
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How can I sort a dynamically generated table

I am dynamically populating the columns in a table every time my page is loaded. (see code below)
This is all working fine, and I am also able to use the built in pagination.
However, I run into problems as soon as I click on a column header to try sort the table.
I assume that because the columns are not defined in the JSP (because they are added dynamically), the sort criteria is referring to non-existant columns once the page reloads.
I get an exception as follows
Exception Details: org.apache.jasper.JasperException
#{currentRow.value['categories.category_id']}Can anyone suggest a solution so that I can sort the data for my dynamically generated table?
Cheers,
Ian
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I'm also having this problem, and I'm sure many more are too. It seems that no one has a solution, but perhaps that makes it even more value able for a sun dev to figure it out. It's surprising that it's so difficult to make dynamically generated tables with JSC.

How to generate the insert staments of all schema tables with one DBPROC

[code]CREATE DBPROC SCHEMA_INSERT_SCRIPT
AS
VAR L_STATEMENT VARCHAR(500) ;
L_COL_NAME VARCHAR(50);
L_ALL_TAB_COLS VARCHAR(400);
L_TAB_NAME VARCHAR(50);
L_SQL VARCHAR(1000);
TRY
      SET L_ALL_TAB_COLS = ' ';
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      FOR
        SELECT T.TABLENAME,C.COLUMNNAME
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        WHERE T.OWNER='SCOTT2'
        AND T.TABLENAME = C.TABLENAME
        AND T.TABLENAME='DEPT';
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      BEGIN
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SET L_ALL_TAB_COLS = L_ALL_TAB_COLS || L_COL_NAME || ',';
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'(' || SUBSTR(:L_ALL_TAB_COLS,1,LENGTH(:L_ALL_TAB_COLS)-1)||
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till now i am getting output as
insert into DEPT(DEPTNO,DNAME,LOC)
values (
but i want output from this procedure as
insert into DEPT(DEPTNO,DNAME,LOC)
values (10,'SALES','NEWYORK')
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with this above Procedure,i want to generate the insert statments of the table.
please advice me how can i go.
thanks,Bhupinder

Hi,
from what I understand from your post, the thing that's missing is the retrieval of the data from the tables and its types. This could be done very similar to your already done tablespecs, just perform a select, use a cursor again and in there, make sure that character (etc.) fields get surrounded by '' and integers not.
Regards,
Roland

Join fact table with higher dimension level

how do i join fact tables with higher dimension levels with discoverer?
fact with detail at level C
measure X
dimension with
D->C->B->A
E->C
level
A B C
1------1------1
2------2------1
3------2------1
join between fact X and dimension level C
X=3*C because of sum(X) in discoverer and 3xC in dimension
is there a way to get correct values for X without creating a dimension like
D->C
E->

another way of asking this is whether you can create a summary table in Discoverer at a higher level than a dimension's fundamental grain. In other words - the summary examples in the documentation all describe leaving out one or more of your dimensions... they are either left in or completely taken out. But, some of the most effective summarization occurs when you summarize daily data to a monthly level. Assuming that I have a sales table (at a daily level, and a key value sales_date), and a table date_dim (primary key sales_date), I would like to create a summary sales_month_summary where the sales are grouped on month_year (which is a field in the sales_date table).
How is this done? I suspect that we can't use the date_dim table with the summary (due to the problems noted by the poster above). Do we have to create another table "month_dim"? Do we have to fold all of the desired date attributes (month, quarter, year) into the summary? Obviously we'd like to re-use all of the pertinent already existing date items (quarter, month, year, etc.), not recreate them over again, which would result in essentially two sets of items in the EUL. [One used for this month summary, and another used for the detail.]
I searched the forum - someone asked this same question back in 2000 - there was no answer provided.
The only other thought I have is to "snowflake" the date_dim into two tables and two folders, one at a date level, another at the month level. Then the detail tables can connect to date_dim (which is linked to month_dim), while the summary data can connect directly to month_dim.

Best Practice loading Dimension Table with Surrogate Keys for Levels

Hi Experts,
how would you load an Oracle dimension table with a hierarchy of at least 5 levels with surrogate keys in each level and a unique dimension key for the dimension table.
With OWB it is an integrated feature to use surrogate keys in every level of a hierarchy. You don't have to care about
the parent child relation. The load process of the mapping generates the right keys and cares about the relation between the parent and child inside the dimension key.
I tried to use one interface per Level and created a surrogate key with a native Oracle sequence.
After that I put all the interfaces in to one big Interface with a union data set per level and added look ups for the right parent child relation.
I think it is a bit too complicated making the interface like that.
I will be more than happy for any suggestions? Thank you in advance!
negib
Edited by: nmarhoul on Jun 14, 2012 2:26 AM

Hi,
I do like the level keys feature of OWB - It makes aggregate tables very easy to implement if your sticking with a star schema.
Sadly there is nothing off the shelf with the built in knowledge modules with ODI , It doesnt support creating dimension objects in the database by default but there is nothing stopping you coding up your own knowledge module (use flex fields maybe on the datastore to tag column attributes as needed)
Your approach is what I would have done, possibly use a view (if you dont mind having it external to ODI) to make the interface simpler.

Using 2 fact tables with different granularity against calendar dimension

Hello gurus,
I have a requirement to provide a report to show the consumption of available capacity per month and also YTD.
I have two fact tables:
Fact table ‘Capacity’ with columns:
- Site_id
- Month_id
- Capacity
Ie.
001, 2010M01, 50
001, 2010M02, 50
001, 2010M12, 75
002, 2010M01, 60
002, 2010M02, 65
002, 2010M12, 80
Etc
Fact table ‘Consumption’ with columns
- Site_id
- Day_id
- Consumption
Ie
001, 20100101, 2
001, 20100102, 3
001, 20100131, 1
001, 20100201, 5
001, 20100212, 6
001, 20100228, 4
Etc
As can be see above, my ‘Capacity’ table contains monthly volumes, and the ‘Cunsumption’ table contains daily volumes.
My Calendar dimension is straightforward:
Year
Quarter_id
Month_id
Day_id
Ie
2010, 2010Q1, 2010M01, 20100101
2010, 2010Q1, 2010M01, 20100102
2010, 2010Q1, 2010M01, 20100103
2010, 2010Q1, 2010M01, 20100104
Etc
The MfgSite dimension is also simple:
Site_id
Site_name
Group
These are the steps I have taken sofar:
- Imported the four tables
- Created following joins:
     MfgSite.Site_id = Capacity.Site_id
     MfgSite.Site_id = Consumption.Site_id
     Calendar.Month_id = Capacity.Month_id
     Calendar.Day_id = Consumption.Day_id
- Created Business Model Diagram in BMM
- Created Calendar hierachy:
     Year, Quarter, Month, Day
- Created MfgSite hierarchy:
     Group, SiteName
- Setup Logical Table Source / Content settings as follows:
     Fact table Capacity:
          Dimension MfgSite: Logical Level = Site
          Dimension Calendar: Logical Level = Month
     Fact table Consumption:
          Dimension MfgSite: Logical Level = Site
          Dimension Calendar: Logical Level = Day
- Set Default Aggregation Rule to Sum on Logical Columns:
Capacity.Capacity
Consumption.Consumption
- Created following YTD Logical Columns:
     YTDCapacity = TODATE(Capacity.Capacity, Calendar.Year)
     YTDConsumption = TODATE(Consumption.Consumption, Calendar.Year)
- Created Presentaion layer
I then built a few reports to test it out and found that I have an issue with the Capacity object: When I build a simple report to show capacity per month:
SiteName, Month, Capacity
the capacity for each month is multiplied by the number of calendardays in that months, so I get
Site      Month      Capacity
001      2010M01      1550 (= 31 x 50)
001      2010M02     1400 (= 28 x 50)
Etc
In addition, when I add YTDCapacity to my report, the report fails with the following message:
Unable to navigate requested expression: ToDate(Capacity:[DAggr(Capacity.Capacity by [ Calendar.Year, Calendar.Month_id, MfgSite.Site_id, MfgSite.SiteName] )], [Level Year]). Please fix the metadata consistency warnings. (HY000)
Did I miss any steps? Any help is greatly appreciated!
Thanks!
Randall

hi in the capacity fact table remove the level set for the calendar dim and see.

Cartesian join on 2 dimension tables, with count aggregation?

Hi, I have 2 dimension tables, Students, and Subjects, and a fact table, Marks. (simplified)
the Students and Subjects dimension tables both have a 1-N relationship with Marks, so reporting works fine.
However, there are some students who does not have a score in a certain Subject, so when I generate the report of each Subject's scores by Student it'll be
Subject Students Marks
English A 89
......... C 70
......... D 60
Maths B 30
......... C 80
because Students and Subjects are joined by the Marks table
What I'd like to see is
Subject Students Marks
English A 89
......... B 0
......... C 70
......... D 60
Maths A 0
......... B 30
......... C 80
......... D 0
The joins between the dimension and fact tables are all set to "Left-outer join" (where "left" is the dimension table)
I thought I needed a cartesian/cross join on Subjects and Students, using the dummy table technique here: http://gerardnico.com/wiki/dat/obiee/densification_repository#the_cross_join_between_the_dimensions
But it didn't work, not to mention that I have a feeling that this doesn't really apply to 10g or my problem.
Can someone point me in the right direction on this? Thanks!
Above problem solved, but I also need a column of "Count of students who scored 50 or less" which includes the students who did not have any scores. Adding the dummy column to my report breaks the aggregation in my report, while removing the column will take me back to square one.
How do I generate a report that does aggregation that takes into account the students with no scores?
Edited by: lum on 28-Mar-2012 20:13

Here's what I did:
I created the physical table with 1 column, and did a complex join with expression "1=1" on the 2 tables that my actual fact table was directly joined to (and none of the indirect joins). I'm using 11g, so to do complex joins I had to use Manage->Joins
Then I added the dummy column to my Marks fact table in the BMM layer by just dragging it and set the aggregation rule. And then to the presentation layer too.
After updating the repository onto the server, the table behaviour is still the same as before, and the dummy column didn't do anything and displayed a blank value.
Could it be because of my other joins that make this dummy join not work? I don't even know if this 1=1 complex join work in 11g....!
Has anyone tried this join technique in 11g? Thanks!
PS: My dimension table and fact tables are actually logical tables that join several tables at the logical table source layer. My dummy fact table just joins the most detailed layer of the physical dimension tables.

Modelling 2 Fact Tables with Non-Conforming Dimension in OBIEE 11g

Hi all,
I have two fact tables (Fact 1 and Fact 2) and two dimension tables (Product and Rule). The Product dimension table is a conforming dimension and is used in both fact tables, but the Rule dimension is a non-conforming dimension which is used only one fact table. I'm using OBIEE 11g (11.1.1.6.0).
====
Fact 1
====
Sales ID | Product ID | Quantity | Sales Description | Sales Status
S001 | P001 | 100 | bla bla bla bla bla | N
S001 | P002 | 200 | bla bla bla bla bla | N
S002 | P001 | 200 | lab lab lab lab lab | Y
S002 | P003 | 250 | lab lab lab lab lab | Y
Notes for Fact 1:
- One Sales ID can have multiple Product IDs
- Sales Description and Sales Status are the same for one Sales ID (repeating Sales Description and Sales Status for the same Sales ID)
====
Fact 2
====
Sales ID | Product ID | Rule ID | Score
S001 | P001 | R001 | 2
S001 | P001 | R002 | 3
S001 | P002 | R003 | 1
S002 | P001 | R003 | 1
S002 | P003 | R002 | 2
S002 | P003 | R004 | 5
Notes for Fact 2:
- One combination of Sales ID and Product ID can have multiple Rule ID
I'm wondering how best to model these tables so that I can create this report (number of the dimension and fact tables created in the business model, level mapping, aggregation rule, etc)? Any suggestion/advice on how to achieve this?
Sales ID | Product ID | Quantity | Sales Description | Sales Status | Rule ID | Score
S001 | P001 | 100 | bla bla bla bla bla | N | R001 | 2
S001 | P001 | 100 | bla bla bla bla bla | N | R002 | 3
S001 | P002 | 200 | bla bla bla bla bla | N | R003 | 1
S002 | P001 | 200 | lab lab lab lab lab | Y | R003 | 1
S002 | P003 | 250 | lab lab lab lab lab | Y | R002 | 2
S002 | P003 | 250 | lab lab lab lab lab | Y | R004 | 5
Thank you very much!

Hi Dhar, thanks for the suggestions.
I tested what you suggested, but the result is not as per my expectation mentioned above. Here's what I did:
1. In physical layer:
- I joined Fact 1 table with Product dimension table only
- I joined Fact 2 table with Product and Rule dimension tables
2. In business model layer:
- I created 3 logical tables: Fact, Product, and Rule
- The Product table contains the Product ID and Product Name from the Product dimension table in the physical layer
- I created the hierarchy (logical dimension) for Product with only ProductTotal level (as the grand total level) and ProductDetail level that contains Product ID and Product Name
- The Rule table contains the Rule ID and Rule Name from the Rule dimension table in the physical layer
- I created the hierarchy (logical dimension) for Rule with only RuleTotal level (as the grand total level) and RuleDetail level that contains Rule ID and Rule Name
- The Fact table contains 2 logical tables sources: Fact 1 (which logical level in the Content tab is mapped to ProductDetail and RuleTotal) and Fact 2 (which logical level in the Content tab is mapped to ProductDetail and RuleDetail)
- The Fact table contains Sales ID logical column (mapped to both Fact 1 and Fact 2 logical table sources)
- The Fact table also contains Sales Description and Sales Status logical columns (mapped to only Fact 1), which aggregation rule is the default to None
- The Fact table also contains Quantity logical column (mapped to only Fact 1), which aggregation rule is set to Sum
- The Fact table also contains Score logical column (mapped to only Fact 2), which aggregation rule is set to Sum
OBIEE returns the expected result when I retrieve the report:
Sales ID | Product ID | Quantity | Sales Description | Sales Status
However, OBIEE returns an error when I retrieve the reports:
Sales ID | Product ID | Quantity | Sales Description | Sales Status | Rule ID
or
Sales ID | Product ID | Quantity | Sales Description | Sales Status | Rule ID | Score
The error is:
Error Codes: OPR4ONWY:U9IM8TAC:OI2DL65P
State: HY000. Code: 10058. [NQODBC] [SQL_STATE: HY000] [nQSError: 10058] A general error has occurred. [nQSError: 43113] Message returned from OBIS. [nQSError: 43119] Query Failed: [nQSError: 14020] None of the fact tables are compatible with the query request FACT.SALES_STATUS. (HY000)
And the Score column is blank when I retrieved this report:
Sales ID | Product ID | Quantity | Sales Description | Sales Status | Score
Any suggestion anyone? Please help. Thanks a lot!
Edited by: stewartlife on Nov 29, 2012 4:01 PM

Load fact table with null dimension keys

Dear All,
We have OWB 10g R2 and ROLAP star schema. In our source system some rows don’t have all attributes populated with values (null value), and this empty attributes are dimension (business) keys in star schema. Is it possible to load fact table with such rows (some dimension keys are null) in the OWB mappings? We use cube operator in mappings.
Thanks And Regards
Miran

The dimension should have a row indicating UNKNOWN, this will have a business key outside of the normal range e.g. -999999.
In the mapping the missing business keys can then be NVL'd to -999999.
Cheers
Si

Querying against two fact tables with non conformed dimension

I have two fact tables and I have this set up in RPD :
Fact1 joined to DimA and DimB
Fact2 joined to DimA
On Front end I build two analysis:
Analysis 1:
DimA.A, Fact1.1, Fact2.2
Analysis 2 :
DimA.A, DimB.B, Fact1.1, Fact2.2
In the results of Analysis 1 , I am seeing correct values for Fact2.2
In the results of Analysis 2, I am seeing Fact2.2 as empty column. I think the reason is that Fact2 is not joined to DIMB.
Is it possible that I should be able to report against both dimension tables (DIMA and DIMB) columns for FACT1 and FACT2 measures.... Even though I don't have join between DIMB and FACT2.
Any response would be helpful!!!
Regards,
Annu

Hi,
Go to the LTS-- Content Level of the fact which does not have join with Dimension and put Total level for that Dimension and total level on Column(Measure also)(Double click --Levels)(Assume Dim Hierarchy is already set up)
Pull everything(D1,D2,F1,F2) You will see results.
Update Me
Thanks
NK
Edited by: DNK on Mar 20, 2013 1:35 PM

Joining two fact tables with different dimensions into single logical table

Hi Gurus,
I try to accomplish in Oracle Business Intelligence 11.1.1.3.0:
F1 (D1, D2 and D3)
F2 (D1 and D2 and D4)
And we want to build a report F1 F2 D1 D2 D3 D4 to have data for:
F1 that match only for D1-D2-D3
and data for
F2 that match only D1-D2-D4
all that in one row, so D3 and D4 are not common dimensions.
I can only do:
F3 (D1, D2)
F4 (D1, D2 and D4)
And report
F3 F4 D1,D2,D4 (all that in one row, and only D4 is not a common dimension)
Here is the very good example how to accomplish the scenario 1
http://108obiee.blogspot.com/2009/08/joining-two-fact-tables-with-different.html
But looks like it does not work in 11.1.1.3.0
I get
State: HY000. Code: 10058. [NQODBC] [SQL_STATE: HY000] [nQSError: 10058] A general error has occurred. [nQSError: 43113] Message returned from OBIS. [nQSError: 14025] No fact table exists at the requested level of detail: [,,Clients,,Day,ROI,,,,EW_Names,,,,,,,,,,,,,,,,,]. (HY000)
I am sure I set up everything correctly as advised in the blog but it works with only one not a common dimension
Is it a bug in 11.1.1.3.0 or something?
Thanks,
Kate

Thanks for all your replies.
Actually, I've tried the solutions you guys mentioned. Generally speaking, the result should be displayed. However, my scenario is a little bit tricky.
table Y's figures are not the aggregation of table X for D dimension. Instead, table Y's figures include not only D dimension total, but also others (others do not mean A, B, C dimension). For example, table Y stores all food's figure, while table X stores only drink's figure. D dimension is only about drink's detail. In my scenario, other foods' figure is not provided.
So, even if I set D dimension to all/total for table X, table X's result is still not the same as table Y.
Indeed, table Y does not have a column key to join to D dimension's key. So, if I select D dimension and table Y's measures at the same time in BI Answer, result returns no data. Hence, I can't compare table X and table Y's results with selection of D dimension.
Is there any solution to solve this problem?
Edited by: TomChan on Jun 3, 2009 9:36 AM

Generate table with dimensions of BPC etc in BW

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