OBIA How to truncate all fact tables automatically before running a full load

With every run data gets appended to the fact tables.How to configure so that with every run data gets deleted before we start the load.
We have OBIA 11g

If you are using DAC for scheduling the ETL jobs, you can list out the fact tables that are being used in your execution plan and set the Refresh dates for those tables as NULL. This action makes the dac execution plan to consider loading the data freshly into the fact tables.
Steps to make Refresh date as NULL in DAC:
To make the refresh dates as NULL for your fact tables in DAC, go to Setup tab -> Physical Data Sources
Now select the connection Datawarehouse(In my case) -> Refresh Dates
Query your fact tables and go to Refresh Date column and click on the calendar Icon
Click on NULL button to make the refresh date as NULL for that particular table and click on ok and save.
In the similar manner do it for all the fact tables you want.
After the above process, once you run the execution plan then data will be loaded freshly.
Regards,
Obul

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How to truncate all the tables of my database

hi guys
I am using SQL Server 2012 , i need to delete all the data present in my database .I mean i want to truncate all the tables in my database , so please suggest me the easiest way .

If the tables are referenced by FK it will be failed....
Basically you can use the below statetemnt
DECLARE @TruncateStatement nvarchar(4000)
DECLARE TruncateStatements CURSOR LOCAL FAST_FORWARD
FOR
SELECT
N'TRUNCATE TABLE ' +
QUOTENAME(TABLE_SCHEMA) +
N'.' +
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FROM
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N'.' +
QUOTENAME(TABLE_NAME)), 'IsMSShipped') = 0
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WHILE 1 = 1
BEGIN
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http://sqlblog.com/blogs/uri_dimant/
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How to update a fact table when a dimension table is reloaded

We have implemented BI Apps 796. Insertion into W_EMPLOYEE_D table which stores all the employee information had stopped one year back as some company security policy restricted the informatica worklfows to pick up the data. (PER_ALL_PEOPLE_F was a HRMS table and it contained sensitive information line SSN and salary, was inaccessible to the user which informatica uses and the SDE mapping used to return 0 rows).
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Hello Kostis,
thank you for your answer. I don't fully understand you. Can you show me short example, please? I create alias table for time dimension on Physical Layer - original table is TimeDayDim and I create aliases TimeDayDim1, TimeDayDim2, TimeDayDim3, TimeDayDim4. Then I create foreign key Fact.Time1 -> TimeDayDim1, Fact.Time2 -> TimeDayDim2, Fact.Time3 -> TimeDayDim3, Fact.Time4 -> TimeDayDim4. And what now? Must I create these table api Bussines Model and create new time dimensions at bussiness model????
I need in Answers ONE Time dimension. I think I must split my fact table to four tables ... (time1, place1 ...) (time2, place2 ...) (time3 place3...) (time4 place4...) then link those tables to Time dimension (but I dont know where I can split those tables - on Physical Layer or on Bussines Layer).
I suppose that I will have in Answers one time dimension and four facts tables and I will be able to query them. (for example: Time.Days, Fact1.Place1, Fact3.Speed, Fact4.Count Criteria: Time.Year = 2008)
Best Regards Vlada

How to find all the tables associated for a particular transaction

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May I know how to find all the tables, related(foreign key) tables for a transaction within SAP GUI?
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Dear Micky Oestreich
May be we possess expertise or high level experience, it should not show up in our way of communication. Every professional starts with the basic stuff to learn. When the question is raised in such minimum polite way, the same level of courtesy is expected in return. If you felt my question was basic, you might have refused it gently. If you are in good mood or bad mood it doesn't matters.
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Hi Thiru ,
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Answer .... delete all calendars in iCal but leave the Entourage one there! Don't delete that as there will be big trouble!

How to design a fact table to keep track of active dimensions?

I would like to design a classic OLAP facts table using a star scheme. The SQL model of the facts table should be independent of any concrete RDBMS technology and portable between different systems.
The problem is this: users should be able to select subsets of the facts based on conjunctive queries on the dimension values defined for the facts. However, the program that provides the interface for doing this to the user should only present those dimensions where anything is still selectable at all. For example, if a user selected year 2001 and for dimension contract code there is only a single value for all records in the fact table for that year, this dimension should not be shown to the user any more. This should be solved in a generic way. So for n dimensions in total, if the current set of facts is based on constraints from j dimensions, I want to know for which of the remaining n-j dimensions there is still something to select from and only show those.
The obvious way is to make a count(*) query on the distinct foreign keys of each of the dimensions on the fact table, using the same where clause. That means that one would need (n-j) such queries on the whole facts table and that sounds like an awful waste of resources given that the original query for selecting the facts could have done it internally "on the fly".
How can this be achieved in the most performant way? Is there a "classical" way of how to approach this problem? Is there tool support for doing this efficiently?
Any help or pointers to where one could find out more about this would be greatly apreciated - thank you!

>
Did you get the counts for each value of each dimension by doing a separate query with the current "WHERE" clause on each dimension?
>
My method doesn't apply to your use case. I wrote a Java class to create my own bit-mapped indexes on CSV files. So each attribute value was a one million bit binary raw.
I don't know, and don't want to know, what your particular requirements are. But I can show you a basic process that will work for large numbers of rows. Get a simple process working and then explore to see if it will meet your particular needs. Not going to answer questions here about anything but about my example code
1. Assume a single fact table with one primary key column and multiple single-value attribute columns.
2. The table is not subject to DML operations AT ALL - truncate and load if you want apply changes. Meaning it will be useful for research purposes on archived data.
3. The purpose of the table is to select the fact table ROWIDs for records of interest. So the only value selected is a result set of ROWIDs that can then be used to get any of the normal FACt table data and other linked data as needed.
Create the table - insert some records, create a bitmap index on each dimension column and collect the statistics
ALTER TABLE SCOTT.STAR_FACT
DROP PRIMARY KEY CASCADE;
DROP TABLE SCOTT.STAR_FACT CASCADE CONSTRAINTS;
create table star_fact (
    fact_key varchar2(30) DEFAULT 'N/A' not null,
    age      varchar2(30) DEFAULT 'N/A' not null,
    beer    varchar2(30) DEFAULT 'N/A' not null,
    marital_status varchar2(30) DEFAULT 'N/A' not null,
    softdrink varchar2(30) DEFAULT 'N/A' not null,
    state    varchar2(30) DEFAULT 'N/A' not null,
    summer_sport varchar2(30) DEFAULT 'N/A' not null,
    constraint star_fact_pk PRIMARY KEY (fact_key)
INSERT INTO STAR_FACT (FACT_KEY) SELECT ROWNUM FROM ALL_OBJECTS;
create bitmap index age_bitmap on star_fact (age);
create bitmap index beer_bitmap on star_fact (beer);
create bitmap index marital_status_bitmap on star_fact (marital_status);
create bitmap index softdrink_bitmap on star_fact (softdrink);
create bitmap index state_bitmap on star_fact (state);
create bitmap index summer_sport_bitmap on star_fact (summer_sport);
exec DBMS_STATS.GATHER_TABLE_STATS('SCOTT', 'STAR_FACT', NULL, CASCADE => TRUE);Now if you run the 'complex' query for the example from my first reply you will get
SQL> set serveroutput on
SQL> set autotrace on explain
SQL> select rowid from star_fact where
2   (state = 'CA') or (state = 'CO')
3 and (age = 'young') and (marital_status = 'divorced')
4 and (((summer_sport = 'baseball') and (softdrink = 'pepsi'))
5 or ((summer_sport = 'golf') and (beer = 'coors')));
no rows selected
Execution Plan
Plan hash value: 1934160231
| Id | Operation                      | Name                  | Rows | Bytes |
|   0 | SELECT STATEMENT               |                       |     1 |    30 |
|   1 | BITMAP CONVERSION TO ROWIDS   |                       |     1 |    30 |
|   2 |   BITMAP OR                    |                       |       |       |
|* 3 |    BITMAP INDEX SINGLE VALUE   | STATE_BITMAP          |       |       |
|   4 |    BITMAP AND                  |                       |       |       |
|* 5 |     BITMAP INDEX SINGLE VALUE | AGE_BITMAP            |       |       |
|* 6 |     BITMAP INDEX SINGLE VALUE | MARITAL_STATUS_BITMAP |       |       |
|* 7 |     BITMAP INDEX SINGLE VALUE | STATE_BITMAP          |       |       |
|   8 |     BITMAP OR                  |                       |       |       |
|   9 |      BITMAP AND                |                       |       |       |
|* 10 |       BITMAP INDEX SINGLE VALUE| SOFTDRINK_BITMAP      |       |       |
|* 11 |       BITMAP INDEX SINGLE VALUE| SUMMER_SPORT_BITMAP   |       |       |
| 12 |      BITMAP AND                |                       |       |       |
|* 13 |       BITMAP INDEX SINGLE VALUE| BEER_BITMAP           |       |       |
|* 14 |       BITMAP INDEX SINGLE VALUE| SUMMER_SPORT_BITMAP   |       |       |
Predicate Information (identified by operation id):
   3 - access("STATE"='CA')
   5 - access("AGE"='young')
   6 - access("MARITAL_STATUS"='divorced')
   7 - access("STATE"='CO')
10 - access("SOFTDRINK"='pepsi')
11 - access("SUMMER_SPORT"='baseball')
13 - access("BEER"='coors')
14 - access("SUMMER_SPORT"='golf')
SQL>As you can see Oracle is combining bitmap indexes on columns in a single table to implement the same AND/OR complex conditions I showed earlier. It doesn't need any other table to do this.
In 11g you can create virtual columns and then index them.
so if you find that the condition 'young' and 'divorced' is used frequently you could create a VIRTUAL 'young_divorced' column and create an index.
alter table star_fact add (young_divorced AS (case
   when (age = 'young' and marital_status = 'divorced') then 'TRUE' else 'N/A' end) VIRTUAL);
create bitmap index young_divorced_ndx on star_fact (young_divorced);
exec DBMS_STATS.GATHER_TABLE_STATS('SCOTT', 'STAR_FACT', NULL, CASCADE => TRUE);Now you can query using the name of the virtual column
SQL> select rowid from star_fact where young_divorced = 'TRUE'
2 and (state = 'CA') or (state = 'CO')
3 /
no rows selected
Execution Plan
Plan hash value: 2656088680
| Id | Operation                    | Name               | Rows | Bytes | Cost
|   0 | SELECT STATEMENT             |                    |     1 |    28 |
|   1 | BITMAP CONVERSION TO ROWIDS |                    |       |       |
|   2 |   BITMAP OR                  |                    |       |       |
|* 3 |    BITMAP INDEX SINGLE VALUE | STATE_BITMAP       |       |       |
|   4 |    BITMAP AND                |                    |       |       |
|* 5 |     BITMAP INDEX SINGLE VALUE| STATE_BITMAP       |       |       |
|* 6 |     BITMAP INDEX SINGLE VALUE| YOUNG_DIVORCED_NDX |       |       |
Predicate Information (identified by operation id):
   3 - access("STATE"='CO')
   5 - access("STATE"='CA')
   6 - access("YOUNG_DIVORCED"='TRUE')
SQL>
----------------------------------------------------------------Notice that at line #6 the new index was used. The VIRTUAL column itselfl doesn't create data for the fact table; the definition only exists in the data dictionary.
The YOUNG_DIVORCE_NDX is real and does consume space. The tradeoff is additional space for the index but you make the query easier because you don't have to recreate the complex condition every time.
Oracle can work with the complex condition and combine the indexes so this really only helps the query writer. Your UI should be able to hide the query construction from the user so I would avoid the use of VIRTUAL columns and an additional index until you demonstrate you really need it.
If you provide users with their own RESULT table to store custom query results you could just store the query name and the set of primary keys from the result set. I used ROWIDs in the example but don't use rowid for a real application - use a primary key value that won't change.
So your UI would let users construct complext dimension queries for 'young_sportsters' and get a result set of primary keys for that. They could save the label 'young_sportsters' and the primary keys in their own work table. Then you can let them run queries that use the primary keys to query data from your active data warehouse to get any other data it contains.
>
Did you get the counts for each value of each dimension by doing a separate query with the current "WHERE" clause on each dimension?
>
For an Oracle implementation you need to do a count select for each dimension. I haven't tried it but you might be able to do multiple dimensions in a singe query. One query would look like this>
-- get the dimension counts
SQL> select beer, count(*) from star_fact group by beer;
BEER                             COUNT(*)
N/A                                 56977
Execution Plan
Plan hash value: 1692670403
| Id | Operation                | Name        | Rows | Bytes | Cost (%CPU)| Ti
|   0 | SELECT STATEMENT         |             |     1 |    12 |     3   (0)| 00
|   1 | SORT GROUP BY NOSORT    |             |     1 |    12 |     3   (0)| 00
|   2 |   BITMAP CONVERSION COUNT|             | 56977 |   667K|     3   (0)| 00
|   3 |    BITMAP INDEX FULL SCAN| BEER_BITMAP |       |       |            |
SQL>Notice that Oracle uses only the index to gather the data.

How to resolve many fact tables and Dimensions tables

Hi,
The scenario is we have many facts and dimension tables. Based on some conditions one measure from one fact will be divided by another fact measure. I have encoutered with many errors like " Unable to navigate .... " ? How to resolve these errors and reduce many to few ? ( I assume creating logical tables, but is there any other alternatives ? )
thanks
Suresh

Suresh,
I assume that you know how to create a single logical fact from n-physical facts, ie only if the fact tables are related. Then join all the conformed dimensions to this single Logical table using a join in the Business Model layer. Remember to set the mappings in the LTS. All if you have any hierarchies please set the aggregation level for those.
- Red

How to combine multiple fact tables and dimensions in one worksheet?

Hello Forum,
I am encountering a reporting problem when trying to create a worksheet that uses more than one cube/fact table and common dimensions. I have used Oracle Warehouse Builder 10Gr2 to design and deploy a pretty simple ROLAP data mart. We are using Discoverer Plus for OLAP as our reporting tool. We have 5 dimension tables using a star schema and 3 fact tables, when I create the worksheet I bring in our sales measure from our sales item table and then Store_Name from my Stores Dimension and then day from my time dimension, everything looks good at the stage, we're just trying to get a sum of all sales for that store on that day. Then I bring in a measure from our advertising cost table and a join window pops up asking which join to use, if I choose either the Store or the Time dimension I get correct data for the first fact table (sales) and grossly incorrect data for the ad cost measure from the second fact table (advertsing costs)...... any help would be appreciated

You have encountered one of the key limitations of Discoverer... which I complained about to the Discoverer product manager at OpenWorld in 2001....
Anyhow, to get around this, you are going to have to deal with it either in the database, (views, materialized views, tables), or within the admin tool by creating a custom folder.
Discoverer also calls this the "fan trap", but never really had a solution to the problem. [The solution only worked is you joined to one and only one dimension!]
What you want (using Sales_Fact and Inventory_Fact as an example) is to join Sales to Time, Store, and Product, and save that result. Then join Inventory to Time, Store, and Product, save that result, then do a double outer join between the two intermediate temporary tables in order to calculate something useful like inventory turns by store and product line.
This is also known a "multipass SQL", and is supported by some (but not many) other tools.
So, to accomplish this with Discoverer, you'll either need to create a view, or table, or materialized view that has already put Sales and Inventory into a single (virtual?) fact table. Alternatively you can write the SQL for how to do this linkage (don't forget to handle missing data), and use the Discoverer admin tool to create a custom folder that uses your SQL.
Hope this helps!

How to create solved fact table and corresponding cube

Hello,
I want to create cube with solved fact table. It means, i need to feed data for higher levels of dimension also from fact table instead of aggreting from base level.
I am using star schema and AWM 10g R2 for creating cube.
If anyone knows how to do this, i would be very benificial.
Thanks
Subash

I have generated parent child script using cwm2_olap_pc_transform.create_script. After running this generated script, it has created 3 table/view.
My Base Parent Child table is like this:-
drop table PARENT_CHILD;
create table PARENT_CHILD (PARENT varchar2(30), CHILD varchar2(30));
insert into PARENT_CHILD values ('Eligible', 'Compliant');
insert into PARENT_CHILD values ('Eligible', 'Non-Compliant');
insert into PARENT_CHILD values ('All', 'Eligible');
insert into PARENT_CHILD values ('All', 'Ineligible');
insert into PARENT_CHILD values (null, 'All');
After running generated script thru cwm2_olap_pc_transform.create_script, it has created :-
Table - PARENT_CHILD_SOLVED
View - PARENT_CHILD_SOLVED_view , PARENT_CHILD_view
This script also inserted data in above table/view. (5 rec in each). Table/View structure is like this:-
SQL> desc PARENT_CHILD_view
Name Null? Type
GID NUMBER
CHILD1 VARCHAR2(30)
CHILD2 VARCHAR2(30)
CHILD3 VARCHAR2(30)
Data:-
0 All Eligible Compliant
0 All Eligible Non-Compliant
1 All Eligible
1 All Ineligible
3 All
SQL> desc PARENT_CHILD_SOLVED
Name Null? Type
GID NUMBER
CHILD1 VARCHAR2(30)
CHILD2 VARCHAR2(30)
CHILD3 VARCHAR2(30)
Data:-
0 All Eligible Compliant
0 All Eligible Non-Compliant
1 All Eligible
1 All Ineligible
3 All
SQL> desc PARENT_CHILD_SOLVED_view
Name Null? Type
GID NUMBER
SHORT_DESCRIPTION VARCHAR2(30)
LONG_DESCRIPTION VARCHAR2(30)
CHILD1 VARCHAR2(30)
CHILD2 VARCHAR2(30)
CHILD3 VARCHAR2(30)
Data:-
0 Compliant Compliant All Eligible Compliant
0 Non-Compliant Non-Compliant All Eligible Non-Compliant
1 Eligible Eligible All Eligible
1 Ineligible Ineligible All Ineligible
3 All All All
I tried to create dim and cube based on this. I am not sure whether its correct or not! Though validate_dimension API call shows that it is valid.
Script for Dim:-
DECLARE
-- variable to hold error message
errtxt varchar(60);
BEGIN
-- To be on safer side just drop dimension before creating new one and catch exceptions
BEGIN
cwm2_olap_dimension.drop_dimension('APPS', 'HCP_DIM_PC');
EXCEPTION
WHEN OTHERS THEN
dbms_output.put_line('Dimension HCP_DIM_PC not dropped');
END;
cwm2_olap_dimension.create_dimension(
'APPS',
'HCP_DIM_PC',
'Parent Child',
NULL,
'Parent Child',
'Parent Child',
NULL);
cwm2_olap_dimension_attribute.create_dimension_attribute(
'APPS',
'HCP_DIM_PC',
'Short Description',
'Short Description',
'Short Description',
'Short Description',
TRUE);
cwm2_olap_dimension_attribute.create_dimension_attribute(
'APPS',
'HCP_DIM_PC',
'Long Description',
'Long Description',
'Long Description',
'Long Description',
TRUE);
cwm2_olap_dimension_attribute.create_dimension_attribute(
'APPS',
'HCP_DIM_PC',
'Grouping ID',
'Grouping ID',
'Grouping ID',
'Grouping ID',
TRUE);
cwm2_olap_hierarchy.create_hierarchy(
'APPS',
'HCP_DIM_PC',
'HCP_DIM_PC_HIER',
'Standard',
'Standard',
'Standard Parent Child Hierarchy',
'SOLVED LEVEL-BASED');
cwm2_olap_dimension.SET_DEFAULT_DISPLAY_HIERARCHY ('APPS', 'HCP_DIM_PC', 'HCP_DIM_PC_HIER');
cwm2_olap_level.create_level(
'APPS',
'HCP_DIM_PC',
'ALL_PARENT_LVL',
'All Parent Child',
'All Parent Child',
'All Parent Child',
'All Parent Child Level');
cwm2_olap_level_attribute.create_level_attribute(
'APPS',
'HCP_DIM_PC',
'Short Description',
'ALL_PARENT_LVL',
'Short Description',
'Short Description',
'Short Description',
'Short Description',
TRUE);
cwm2_olap_level_attribute.create_level_attribute(
'APPS',
'HCP_DIM_PC',
'Long Description',
'ALL_PARENT_LVL',
'Long Description',
'Long Description',
'Long Description',
'Long Description',
TRUE);
cwm2_olap_level_attribute.create_level_attribute(
'APPS',
'HCP_DIM_PC',
'Grouping ID',
'ALL_PARENT_LVL',
'Grouping ID',
'Grouping ID',
'Grouping ID',
'HTB Grouping ID',
TRUE);
-- Add all levels one by one to dimension hierarchy. For top most level last parameter is null.
cwm2_olap_level.add_level_to_hierarchy(
'APPS',
'HCP_DIM_PC',
'HCP_DIM_PC_HIER',
'ALL_PARENT_LVL',
NULL);
BEGIN
cwm2_olap_table_map.removemap_dimtbl_hierlevel(
'APPS',
'HCP_DIM_PC',
'HCP_DIM_PC_HIER',
'ALL_PARENT_LVL');
cwm2_olap_table_map.removemap_DimTbl_HierLevelAttr(
'APPS', 'HCP_DIM_PC', 'Short Description', 'HCP_DIM_PC_HIER', 'ALL_PARENT_LVL', 'Short Description');
cwm2_olap_table_map.removemap_DimTbl_HierLevelAttr(
'APPS', 'HCP_DIM_PC', 'Long Description', 'HCP_DIM_PC_HIER', 'ALL_PARENT_LVL', 'Long Description');
cwm2_olap_table_map.removemap_DimTbl_HierLevelAttr(
'APPS', 'HCP_DIM_PC', 'Grouping ID', 'HCP_DIM_PC_HIER', 'ALL_PARENT_LVL', 'Grouping ID');
EXCEPTION
WHEN OTHERS THEN
dbms_output.put_line('Level map for ALL_PARENT_LVL not removed');
END;
-- Map ALL_PARENT_LVL level to dimension table. Last parameter is null since it is top most level
cwm2_olap_table_map.map_dimtbl_hierlevel(
'APPS',
'HCP_DIM_PC',
'HCP_DIM_PC_HIER',
'ALL_PARENT_LVL',
'APPS',
'PARENT_CHILD_SOLVED_VIEW',
'GID',
NULL);
-- one by one map all the level attributes to respective columns in the dimension table.
cwm2_olap_table_map.Map_DimTbl_HierLevelAttr(
'APPS',
'HCP_DIM_PC',
'Short Description',
'HCP_DIM_PC_HIER',
'ALL_PARENT_LVL',
'Short Description',
'APPS',
'PARENT_CHILD_SOLVED_VIEW',
'SHORT_DESCRIPTION');
cwm2_olap_table_map.Map_DimTbl_HierLevelAttr(
'APPS',
'HCP_DIM_PC',
'Long Description',
'HCP_DIM_PC_HIER',
'ALL_PARENT_LVL',
'Long Description',
'APPS',
'PARENT_CHILD_SOLVED_VIEW',
'LONG_DESCRIPTION');
cwm2_olap_table_map.Map_DimTbl_HierLevelAttr(
'APPS',
'HCP_DIM_PC',
'Grouping ID',
'HCP_DIM_PC_HIER',
'ALL_PARENT_LVL',
'Grouping ID',
'APPS',
'PARENT_CHILD_SOLVED_VIEW',
'GID');
-- Use cwm2_olap_validate.validate_dimension to validate the dimension
cwm2_olap_validate.validate_dimension('APPS', 'HCP_DIM_PC');
cwm2_olap_metadata_refresh.mr_refresh;
-- Rollback if any exception occurs during processing this script
EXCEPTION
WHEN OTHERS THEN
cwm_utility.dump_error;
errtxt := cwm_utility.get_last_error_description;
dbms_output.put_line('ERROR: ' || errtxt);
ROLLBACK;
RAISE;
END;
Script for Cube:-
declare
HCP_time_dim number;
errtxt varchar(60);
begin
cwm_utility.collect_garbage;
begin
cwm2_olap_cube.drop_cube('APPS', 'HCP_PC_CUBE');
exception
when others then
dbms_output.put_line('No HCP_PC_CUBE to drop');
end;
begin
cwm2_olap_catalog.drop_catalog('HCP_PC_CAT');
exception
when others then
dbms_output.put_line('No HCP_PC_CAT to drop');
end;
CWM2_OLAP_CUBE.Create_Cube('APPS', 'HCP_PC_CUBE', 'Parent Child Cube', 'Parent Child Cube','Parent Child Cube');
cwm2_olap_cube.add_dimension_to_cube('APPS', 'HCP_PC_CUBE','APPS', 'HCP_DIM_PC');
cwm2_olap_measure.create_measure('APPS', 'HCP_PC_CUBE', 'HCP_PC_MEASURE', 'PC Measure','PC Measure', 'PC Measure Fact');
cwm2_olap_table_map.map_facttbl_levelkey('APPS','HCP_PC_CUBE','APPS','HCP_PC_FACT','ET', 'DIM:APPS.HCP_DIM_PC/HIER:HCP_DIM_PC_HIER/GID:GID/LVL:ALL_PARENT_LVL/COL:CHILD3;');
cwm2_olap_table_map.Map_FactTbl_Measure('APPS', 'HCP_PC_CUBE','HCP_PC_MEASURE', 'APPS', 'HCP_PC_FACT', 'MEASURE_COL', 'DIM:APPS.HCP_DIM_PC/HIER:HCP_DIM_PC_HIER/GID:GID/LVL:CHILD3/COL:SHORT_DESCRIPTION;');
cwm2_olap_catalog.create_catalog('HCP_PC_CAT', 'Parent Child Catalog');
cwm2_olap_catalog.add_catalog_entity('HCP_PC_CAT', 'APPS', 'HCP_PC_CUBE', 'HCP_PC_MEASURE');
cwm2_olap_validate.validate_cube('APPS', 'HCP_PC_CUBE','DEFAULT','YES');
cwm2_olap_metadata_refresh.mr_refresh;
exception
when others then
cwm_utility.dump_error;
errtxt := cwm_utility.get_last_error_description;
dbms_output.put_line('ERROR: ' || errtxt);
rollback;
raise;
END;
My Fact Table is :-
DROP TABLE HCP_PC_FACT CASCADE CONSTRAINT;
CREATE TABLE HCP_PC_FACT (
SHORT_DESCRIPTION VARCHAR2(30) NOT NULL,
GID NUMBER NOT NULL,
CHILD1 VARCHAR2(30) NOT NULL,
CHILD2 VARCHAR2(30) ,
CHILD3 VARCHAR2(30) ,
MEASURE_COL NUMBER NOT NULL);
Data in Fact Table:-
insert into HCP_PC_FACT values('Compliant',0,'All','Eligible','Compliant', 100);
insert into HCP_PC_FACT values('Non-Compliant',0,'All','Eligible','Non-Compliant', 200);
insert into HCP_PC_FACT values('Eligible',1,'All','Eligible',null, 300);
insert into HCP_PC_FACT values('Ineligible',1,'All','Ineligible',null, 400);
insert into HCP_PC_FACT values('All',3,'All',null,null, 500);
I am not sure how to create level, level attr, dim attr for such dim.
All CWM2 validation API shows that my all dims, cubes are valid but when I try to create presentation thru JDev it hangs after selecting Parent-Child Measure.
Any complete working exapmle will be helpful.
P.S. One more query I have can we have one solved and one un-solved dim in the same cube/measure?
regds
Prakash

How can I make fact table?

Hi all
I would like to make fact table in oracle 11g using SQL syntax. how can I do so?
Is Analytical Workspace Manager available by defult in oracle 10g or 11g?
Do you recommand good book for implementing star schema or ROLAP? i want the setps and sql syntax examples.
thanks

Hi,
You can make a fact table through any number of ways viz:
- CREATE TABLE syntax , your table design would correspond to the dimensional model (Star Schema / Snowflake Schema) specifications
- You can alternately use an ETL Tool like OWB to design your star schema
As far as I know i dont think Analytical Workspace Manager comes by default with an Oracle DB Installation
- Read any book you find on Dimensional Modeling to get a hang on building Star Schemas and OLAP Concepts. You would definitely find one such book in "The Oracle documentation library"

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select 'truncate table ' || owner || '.' || table_name || ';'
from dba_tables
where owner <> 'SYSTEM'
-Chuck

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Hi Expert ,
Is there is any program to find out all the tables which are used in a perticular report .
Thanks in advance
Tarak

Well, so far Viquar Iqbal has given the only really correct answer - use SQL trace. The reason the others are incomplete, is because they don't consider that a report might call a function module or a class method that accesses a table. In fact, for many applications this is exactly what happens - db accesses are abstracted away from the main program.
The other alternative to SQL trace is to use Run Time Analysis. The advantage of SQL trace is that it shows the tables hit in order.
matt

How to unlock all the tables & schemas in Oracle 9i

plz help me out with how to bring isqlplus screen & how to unlock all the schemas & tables...

Hi,
You should see SQL plus, if you have oracle installed in your machine, it should be in Oracle/Application/SQL plus or look for this sqlplusw.exe in your machine.
You can UNLOCK the user
alter user usename account unlock ;
Thanks

How to link a fact table to one dimension many times

I have fact table which contains four date fields and I want to connect all of them to the Time dimension. I think I probably must split this fact table to multiple tables and then link them to dimensions. What is the right way to solve this kind of problem?
Example: Fact table: TimeIn, TimOut, TimeStart, TimeStop, InPlace, OutPlace, StartPlace, StopPlace, Speed, Weight, Width, Height .....
Thank you

Hello Kostis,
thank you for your answer. I don't fully understand you. Can you show me short example, please? I create alias table for time dimension on Physical Layer - original table is TimeDayDim and I create aliases TimeDayDim1, TimeDayDim2, TimeDayDim3, TimeDayDim4. Then I create foreign key Fact.Time1 -> TimeDayDim1, Fact.Time2 -> TimeDayDim2, Fact.Time3 -> TimeDayDim3, Fact.Time4 -> TimeDayDim4. And what now? Must I create these table api Bussines Model and create new time dimensions at bussiness model????
I need in Answers ONE Time dimension. I think I must split my fact table to four tables ... (time1, place1 ...) (time2, place2 ...) (time3 place3...) (time4 place4...) then link those tables to Time dimension (but I dont know where I can split those tables - on Physical Layer or on Bussines Layer).
I suppose that I will have in Answers one time dimension and four facts tables and I will be able to query them. (for example: Time.Days, Fact1.Place1, Fact3.Speed, Fact4.Count Criteria: Time.Year = 2008)
Best Regards Vlada

OBIA How to truncate all fact tables automatically before running a full load

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