Ratio between Fact table and Dimention table for a Infocube

Hi All,
How can we reduce the Ratio between Fact table and Dimention table for a Infocube below 20%.??
please give suggestions

Hi
Reduce Ratio??
The Ratios are dependent on the Fact Table, and the Dimension table that is modeled for your Cube.
You cannot change ratio individually, but can set the Line Item Dimension , provided you have only one char object is taking much space and bulky with much percentage, based on your requirement. You can always use fine tuning objects.
Please be more specific while posting, to get right help from sdn.
Hope it helps

Similar Messages

Fact Table and Dimension Tables

Hi Experts, I'm creating custom InfoCubes for data coming from non-SAP source systems. I have two InfoCubes. Tha data is coming from like 10 tables. I have 10 DataSources created fo this and the data will be consolidated in Standard DSO before it will flow into 2 InfoCubes.
Now client wants to know before how much data will be there in InfoCubes in Fact table nad Dimension tables in both the InfoCubes. I have the total size of all the 10 tables from the sources given to me by the DBA. I wan not sure how I can convert that info for Fact table and Dimension table as I have not yet created these Infocubes.
Please help me with this on how I should address this.

hi,
The exact data will be hard to give however you can reach at a round figure in your case.
You are consolidating the data from the tables that means that there is relation between the tables. Arrive at a rough figure based on the relation and the activity you are performing while consolidating the data of the tables.
For example, let us say we want to combine data for sales order and deliveries in a DSO.
Let Sales order has 1000 records and Delivery has 2000 records. Both the tables have a common link (Sales Order).In DSO you are combining the data that means the data will be at the most granular level consist of Delivery data, so the maximum no of records which the consolidated DSO can have is 2000.
regards,
Arvind.

Reg: Fact table and Dimension table in Data Warehousing -

Hi Experts,
I'm not exactly getting the difference between the criteria which decide how to create a Fact table and Dimension table.
This link http://stackoverflow.com/questions/9362854/database-fact-table-and-dimension-table states :
Fact table contains data that can be aggregate.
Measures are aggregated data expressions (e. Sum of costs, Count of calls, ...)
Dimension contains data that is use to generate groups and filters.
This's fine but how does one decide which columns to consider for Fact table and which columns for Dimension table?
Any help is much appreciated.
Pardon me if this's not the correct place for this question. My first question in the new forum.
Thanks and Regards,
Ranit Biswas

ranitB wrote:
But my main doubt was - what is the criteria to differentiate between columns for Fact tables and Dimension tables? How can one decide upon the design?
Columns of a fact table will often be 'scalar' attributes of the 'fact' data item. A dimension table will often be 'compound' attributes of a 'fact'.
Consider employee information. The EMPLOYEE table can be a fact table. It might have scalar attribute columns such as: DATE_HIRED, STATUS, EMPLOYEE_ID, and so on.
Other related information that can't be specified as a single attribute value would often be stored in a 'dimension' table: ADDRESS, PHONE_NUMBER.
Each address requires several columns to define it: ADDRESS1, ADDRESS2, CITY, STATE, ZIP, COUNTRY. And an employee might have several addresses: WORK_ADDRESS, HOME_ADDRESS. That address info would be stored in a 'dimension' table and only the primary key value of the address record would be stored in the EMPLOYEE 'fact' table.
Same with PHONE_NUMBER. Several columns are required to define a phone number and each employee might have several of them. The dimension tables are used to help 'normalize' the data in the employee 'fact' table.
And that EMPLOYEE table might also be a DIMENSION table for other FACT tables. A DEVELOPER table might have an EMPLOYEE_ID column with a value that points to a 'dimension' row in the EMPLOYEE dimension table.

What is FACT table and FLAT table?

Hello,
         Kindly tell me what is mean by FACT table and FLAT table and how it is use in the BI system ?also tell me can i see these table in the system ?if yes then please tell me the procedure to see the content of the FACT and FLAT table.   And also tell me about the SID table and how to see it.

Cube consists of Fact tables and Dimension tables.
The structure of these tables are "Flat".
Cube consists of two factables... 'F' - Fact table and 'E' - Fact table.
The naming convention will be..
/BIC/F<..Cube name..>   for F Fact table
/BIC/E<..Cube name..>   for E Fact table
Eg: for cube "EMPLOYEE" the names are..
/BIC/FEMPLOYEE
/BIC/EEMPLOYEE
The dimention tables have naming convention..
/BIC/D....
You can check these tables in SE11 or you can use the transaction LISTSCHEMA and then provide the Cube name.
SID's tables are used to link the master data with the dimention tables.

Difference between Temp table and Variable table and which one is better performance wise?

Hello,
Anyone could you explain What is difference between Temp Table (#, ##) and Variable table (DECLARE @V TABLE (EMP_ID INT)) ?
Which one is recommended to use for better performance?
also Is it possible to create CLUSTER and NONCLUSTER Index on Variable table?
In my case: 1-2 days transactional data are more than 3-4 Millions. I tried using both # and table variable and found table variable is faster.
Is that Table variable using Memory or Disk space?
Thanks Shiven:) If Answer is Helpful, Please Vote

Check following link to see differences b/w TempTable & TableVariable: http://sqlwithmanoj.com/2010/05/15/temporary-tables-vs-table-variables/
TempTables & TableVariables both use memory & tempDB in similar manner, check this blog post: http://sqlwithmanoj.com/2010/07/20/table-variables-are-not-stored-in-memory-but-in-tempdb/
Performance wise if you are dealing with millions of records then TempTable is ideal, as you can create explicit indexes on top of them. But if there are less records then TableVariables are good suited.
On Tables Variable explicit index are not allowed, if you define a PK column, then a Clustered Index will be created automatically.
But it also depends upon specific scenarios you are dealing with , can you share it?
~manoj | email: http://scr.im/m22g
http://sqlwithmanoj.wordpress.com
MCCA 2011 | My FB Page

Difference between Data staging and Dimension Table ?

Difference between Data staging and Dimension Table ?

Data Staging:
Data extraction and transformation is done here.
Meaning that, if we have source data in flat file, we extract it and load into staging tables, we take care of nulls, we change datetime format etc.. and after such cleansing/transformation at then end, load it to Dim/Fact tables
Pros: Makes process simpler and easy and also we can keep track of data as we have data in staging
Cons: Staging tables need space hence need memory space
Dimension Table:
tables which describes/stores the attribute about specific objects
Below is star schema which has dimension storing information related to Product, Customer etc..
-Vaibhav Chaudhari

Difference between line type and internal table?

Hi..
I wanted to know, what is the difference between Line type and Internal Table?

Hi,
Before the 4.7 release in SAP if we want to define an internal table we have to write the defination using the occurs statement and we need to define all the fields using INCLUDE STRUCTURE or indidually all the fields ine by one.
From 4.7 release of R/3 SAP introduced the Line type concept and it's part of the ABAP OOPS concept. for internal table defination we don't need to use the occur statements. Instead INCLUDE structure we need to create a Line type for that structure in Se11 and then we can define the internal table like :
DATA : ITAB TYPE TABLE OF <LINE_TYPE>.
Only thing is this table will be a table without header. So for internal table processing we need to define a work area structure of type line of line type . EX:
DATA: WA_ITAB TYPE LINE OF <LINE_TYPE>.
Hope this helps.
Thanks,
Greetson

To find the size of the fact table and dimension table

Hi experts,
Can anyone plz tell me if i want to find size of the fact table and size of the dimension table to find cardinality and line item do we first build statistics then find size by transaction DB02 or any other method we have?
Thanks in advance

Hi ,
Please go to Tcode DB02 >Space>Table and Indexes.Give your table name or pattern (like /BIC/F* for gettinf all the Fact tables)
.This will give you sizes of all the table.
Also if you want to get list like TOP 30 Fact tables and Dimension Table.Please use TCode ST14, this will give a desired output with all the required details.
-Vikram

Diff between custom table and cutomized table

hi,
can any one let me know the terms custom table and customized table is same or is there any difference in between these two.
in case of any difference please let me know.
regards

hi,
Customizing table is
a very SPECIAL MASTER TABLE
where VERY IMPORTANT RECORDS
are maintained.
2. Such records, affect calculations / flow / logic etc .
3. Important thing about customizing table,
is that it will ask for REQUEST NUMBER,
whenever we try to add / modify any record in it.

Difference between work area and internal tables.

Hi I wanna know the difference between work area and internal tables.
what happend if i give with out header line in internal table.
also how to assosiate work area to internal table in that scenario.

Hi Balaji..
The internal table is an ABAP runtime object which has two parts the Body and the header.
Whereas a work area cannot have a body.. It is mere a field or group of fields which can hold values at runtime..
In the SAP higher versions mySAP ERP, the use of tables with header line is made obsolete.. But there is absolutely no problem with the same..
Just think that when you define an internal table with occurs or with header line statement, the system automatically creates a workarea with this table, using which you can access the contents in the bosy of tyhe table.. You can read a record from the table body to this header or add a record in the header to the internal table body..
When you work with a table ITAB without a header line, you can not use statements like READ TABLE, APPEND, INSERT etc without giving an explicit work area..
Suppose i have an internal table like:
DATA : itab TYPE STANDARD TABLE OF t001.
This table will not have a header with it.
If you will use APPEND itab. The compilor will give error.
Here i will create a work area with same structure of the table.
DATA : e_wa TYPE t001.
Now i will write:
APPEND e_wa TO itab.
READ TABLE itab INTO e_wa WITH KEY xxxxxx
LOOP AT itab INTO e_wa... etc..
In a better approach we use Field symbols with such tables, instead of structures
FIELD-SYMBOLS: <fs_itab> TYPE t001.
So,
LOOP AT itab ASSIGNING <fs_itab>
READ TABLE itab ASSIGNING <fs_itab> etc.. However we can not use field symbols in few cases..
I hope this will help you..
Thanks and Best Regards,
Vikas Bittera.
**Points for usefull answers**

What is the difference between standard,sorted and hash table

<b>can anyone say what is the difference between standard,sorted and hash tabl</b>

Hi,
Standard Tables:
Standard tables have a linear index. You can access them using either the index or the key. If you use the key, the response time is in linear relationship to the number of table entries. The key of a standard table is always non-unique, and you may not include any specification for the uniqueness in the table definition.
This table type is particularly appropriate if you want to address individual table entries using the index. This is the quickest way to access table entries. To fill a standard table, append lines using the (APPEND) statement. You should read, modify and delete lines by referring to the index (INDEX option with the relevant ABAP command). The response time for accessing a standard table is in linear relation to the number of table entries. If you need to use key access, standard tables are appropriate if you can fill and process the table in separate steps. For example, you can fill a standard table by appending records and then sort it. If you then use key access with the binary search option (BINARY), the response time is in logarithmic relation to
the number of table entries.
Sorted Tables:
Sorted tables are always saved correctly sorted by key. They also have a linear key, and, like standard tables, you can access them using either the table index or the key. When you use the key, the response time is in logarithmic relationship to the number of table entries, since the system uses a binary search. The key of a sorted table can be either unique, or non-unique, and you must specify either UNIQUE or NON-UNIQUE in the table definition. Standard tables and sorted tables both belong to the generic group index tables.
This table type is particularly suitable if you want the table to be sorted while you are still adding entries to it. You fill the table using the (INSERT) statement, according to the sort sequence defined in the table key. Table entries that do not fit are recognised before they are inserted. The response time for access using the key is in logarithmic relation to the number of
table entries, since the system automatically uses a binary search. Sorted tables are appropriate for partially sequential processing in a LOOP, as long as the WHERE condition contains the beginning of the table key.
Hashed Tables:
Hashes tables have no internal linear index. You can only access hashed tables by specifying the key. The response time is constant, regardless of the number of table entries, since the search uses a hash algorithm. The key of a hashed table must be unique, and you must specify UNIQUE in the table definition.
This table type is particularly suitable if you want mainly to use key access for table entries. You cannot access hashed tables using the index. When you use key access, the response time remains constant, regardless of the number of table entries. As with database tables, the key of a hashed table is always unique. Hashed tables are therefore a useful way of constructing and
using internal tables that are similar to database tables.
Regards,
Ferry Lianto

What is the differences between Transparent,Pooled and Cluster tables?

Hello all,
What is Pool table?What is the differences between Transparent,Pooled and Cluster tables?
Regards!
Purna

Transparent table:
Tables can be defined independently of the database in the ABAP Dictionary. The fields of the table are defined together with their (database-independent) data types and lengths.
A table definition in the ABAP Dictionary has the following components:
Table fields: The field names and the data types of the fields contained in the table are defined here.
Foreign keys: The foreign keys define the relationships between this table and other tables.
Technical settings: The technical settings define how the table is created on the database.
Indexes: Indexes can be defined for the table to speed up data selection from the table.
There are three categories of database tables in the ABAP Dictionary.
A physical table definition is created in the database for the table definition stored in the ABAP Dictionary for transparent tables when the table is activated. The table definition is translated from the ABAP Dictionary to a definition of the particular database.
On the other hand, pooled tables and cluster tables are not created in the database. The data of these tables is stored in the corresponding table pool or table cluster. It is not necessary to create indexes and technical settings for pooled and cluster tables.
Pooled table
Pooled tables can be used to store control data (e.g. screen sequences, program parameters or temporary data). Several pooled tables can be combined to form a table pool. The table pool corresponds to a physical table on the database in which all the records of the allocated pooled tables are stored.
Cluster table
Cluster tables contain continuous text, for example, documentation. Several cluster tables can be combined to form a table cluster. Several logical lines of different tables are combined to form a physical record in this table type. This permits object-by-object storage or object-by-object access. In order to combine tables in clusters, at least parts of the keys must agree. Several cluster tables are stored in one corresponding table on the database.
Regds,
Manohar

Difference between table and advanced table

hi
what is the main difference between table and advanced table ?
What are the usages of both the Beans?

Hi
OAAdvancedTableBean extends OATableBean to provide declarative support for existing table features that previously required programmatic control.
OAAdvancedTableBean also provides declarative support for features not available with OATableBean, such as column span in a table column header. Oracle recommend new tables be implemented as "advanced tables"...
Please Read more info from Jdev Guide..
Thanks
AJ

Wat is the exact differences between clustered table and pooled table

hi,
can you tell me ravi...wat is the exact differences between clustered table and pooled table
with regards//
anilreddyg

Hi Anil Reddy
Pooled Tables, Table Pools, Cluster Tables, and Table Clusters
These types of tables are not transparent in the sense that they are not legible or manageable directly using the underlying database system tools. They are managed from within the R/3 environment from the ABAP dictionary and also at runtime when they are loaded into application memory.Pool and cluster tables are logical tables. Physically, these logical tables are arranged as records of transparent tables. The pool and cluster tables are grouped together in other tables, which are of the transparent type. The tables that group together pool tables are known as table pools, or just pools; similarly, table clusters, or just
clusters, are the tables which group cluster tables.Not all operations that can be performed over transparent tables can be executed over pool or cluster tables.
For instance, you can manage these tables using Open SQL calls from ABAP, but not Native SQL.These tables are meant to be buffered and loaded in memory, because they are commonly used for storing internal control information and other types of data with no external (business) relevance. SAP recommends that tables of pool or cluster type be used exclusively for control information such as
program parameters, documentation, and so on. Transaction and application data should be stored in transparent tables.
Table Pools
From the point of view of the underlying DBMS as from the point of view of the ABAP dictionary, a table pool is a transparent table containing a group of pooled tables which, when created, were assigned to this table pool.
Field Type Description
TABNAME CHAR(10) Table name
VARKEY CHAR(n) Maximum key length n =< 110
DATALN INT2(5) Length of the VARDATA record returned
VARDATA RAW(m) Maximum length of the data varies according to DBMS
Table Clusters
Similarly to pooled tables, cluster tables are logical tables which, when created, are assigned to a table cluster. Therefore, a table cluster, or just cluster, groups together several tables of type clusters.Several logical rows from different cluster tables are brought together in a single physical record. The records
from the cluster tables assigned to a cluster are thus stored in a single common table in the database.A cluster contains a transparent cluster key which must be located at the start of the key of all logical cluster tables to be included in the cluster. As well, a cluster contains a long field (VARDATA), which contains the
data of the cluster tables for this key. If the data does not fit into a field, continuation records are created.
Field Type Description
CLKEY1 CHAR(*) First key fields
CLKEY2 CHAR(*) Second key field
CLKEYN CHAR(*) nth key field
PAGENO INT2(5) Number of the next page
TIMESTMP CHAR(14) Time stamp
PAGELG INT2(5) Length of the VARDATA record returned
VARDATA RAW(*) Maximum length of the data section; varies according to database system
Working with Tables
The dictionary includes many functions for working with tables. There are five basic operations you can perform on tables: display, create, delete, modify, copy. Please do not confuse displaying a table with displaying the table entries (table contents). In order to display a table, it must previously exist; otherwise the system will display an error message in the status bar. For the following example, the table TABNA is used. To display this table, from the main dictionary screen, enter the table name in the Object name
input field with the radio button selected next to Tables. Then, click on the Display button at the bottom of the screen, or press the F7 function key, or, alternatively,
select Dictionary object Display from the menu.
In this screen, you can see table information such as
¨ Table type, shown next to the name of the object. In the example, it is a transparent table.
¨ Short text description.
¨ Name of the user who made the last change, and the date of the change.
¨ Master language.
¨ Table status. On the screen, you can see this table is saved and active.
¨ Development class. For information on development classes, refer to Chap. 6.
Delivery class, which sets the maintenance group for the table. It controls how tables will behave during client copy procedures, upgrades, and so forth.¨
Tab. Maint. Allowed flag, which indicates whether you can generate a screen for maintaining table entries.
¨Then, on the lower part of the screen, you can see the table fields with all associated characteristics such as:
¨ Field name.
¨ Key indicator. When set, this field is the primary key, or part of it.
¨ Data element.
¨ Basic data type.
¨ Length.
¨ Check table.
¨ Short text, describing the field.
Additional information about the table can be displayed by selecting the corresponding functions from the menu or directly from the application toolbar, such as keys, indexes, or technical settings
Standard table:
The key access to a standard table uses a sequential search. The time required for an access is linearly dependent on the number of entries in the internal table.
You should usually access a standard table with index operations.
Sorted table:
The table is always stored internally sorted by its key. Key access to a sorted table can therefore use a binary search. If the key is not unique, the entry with the lowest index is accessed. The time required for an access is logarithmically dependent on the number of entries in the internal table.
Index accesses to sorted tables are also allowed. You should usually access a sorted table using its key.
Hash table:
The table is internally managed with a hash procedure. All the entries must have a unique key. The time required for a key access is constant, that is it does not depend on the number of entries in the internal table.
You cannot access a hash table with an index. Accesses must use generic key operations (SORT, LOOP, etc.).
Index table:
The table can be a standard table or a sorted table.
Index access is allowed to such an index table. Index tables can be used to define the type of generic parameters of a FORM (subroutine) or a function module.
Just have a look at these links:
http://help.sap.com/saphelp_nw04/helpdata/en/90/8d7304b1af11d194f600a0c929b3c3/frameset.htm
http://help.sap.com/saphelp_nw04/helpdata/en/74/83015785d811d295a800a0c929b3c3/frameset.htm
Regards
Sreeni

Fact table and dimension table

what is the difference b/w fact table and dimension table

A fact table contains numeric values and also contain composite key(i.e collection of foreign key) e.g.. sales and profit. Typically has two types of columns: those that contain facts and those that are foreign keys to dimension tables.
Dimension tables, also known as lookup or reference tables, contain the relatively static data in the warehouse. It contains character values E.g Customer_name,Customer_city.
Dimension tables store the information you normally use to contain queries. Dimension tables are usually textual and descriptive and you can use them as the row headers of the result set.
Rachna

Ratio between Fact table and Dimention table for a Infocube

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