Pooled table and clustred table

pooled table and clustred table

Hi
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
For creating cluster tables first u have to create table pool ...
create a table and specify the fields and other tecnical settings and
then Goto EXTRAS --> Change Table Category and selct the Pooled table and activate it...
Then Create another table And specify the required fileds and also the settings and then
Goto EXTRAS --> Change Table Category and selct the Cluaster table and in Delivery and
Maintainence Properties mention the Pooled table that u created and activate it...
Regards
Sreeni

Similar Messages

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    Hi,
    I am working in one Achiving project. My requirement is to get data into flat file from Cluster table and pool table.
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    if table name given in the selection screen then data will be downloaded into flat file.
    waiting for quick response.
    Best Regards,
    Bansidhar

    Data cannot be retrived directly form the cluster table
    as the Cluster results are stored in Cluster Key say for example PCLkey
    and form that Key we need to fetch the data
    these clustes are not the part of PNP or PNPCE tables
    for ur info kindly check

  • Inforation on Pool tables and cluster tables required.

    I want to know about the pool tables and cluster tables like how to create them and how to look the tables associated with the given tables. Like for the table BSEG we have other tables linked BSID etc. I'm new to this concept please guide me.

    <b>Pooled Table:</b>
    A pooled table in R/3 has a many-to-one relationship with a table in the database (see Figures 3.1 and 3.2). For one table in the database, there are many tables in the R/3 Data Dictionary. The table in the database has a different name than the tables in the DDIC, it has a different number of fields, and the fields have different names as well. Pooled tables are an SAP proprietary construct.
    When you look at a pooled table in R/3, you see a description of a table. However, in the database, it is stored along with other pooled tables in a single table called a table pool. A table pool is a database table with a special structure that enables the data of many R/3 tables to be stored within it. It can only hold pooled tables.
    R/3 uses table pools to hold a large number (tens to thousands) of very small tables (about 10 to 100 rows each). Table pools reduce the amount of database resources needed when many small tables have to be open at the same time. SAP uses them for system data. You might create a table pool if you need to create hundreds of small tables that each hold only a few rows of data. To implement these small tables as pooled tables, you first create the definition of a table pool in R/3 to hold them all. When activated, an associated single table (the table pool) will be created in the database. You can then define pooled tables within R/3 and assign them all to your table pool.
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    <b>Cluster Table:</b>
    A cluster table is similar to a pooled table. It has a many-to-one relationship with a table in the database. Many cluster tables are stored in a single table in the database called a table cluster.
    A table cluster is similar to a table pool. It holds many tables within it. The tables it holds are all cluster tables.
    Like pooled tables, cluster tables are another proprietary SAP construct. They are used to hold data from a few (approximately 2 to 10) very large tables. They would be used when these tables have a part of their primary keys in common, and if the data in these tables are all accessed simultaneously.
    Table clusters contain fewer tables than table pools and, unlike table pools, the primary key of each table within the table cluster begins with the same field or fields. Rows from the cluster tables are combined into a single row in the table cluster. The rows are combined based on the part of the primary key they have in common. Thus, when a row is read from any one of the tables in the cluster, all related rows in all cluster tables are also retrieved, but only a single I/O is needed.
    A cluster is advantageous in the case where data is accessed from multiple tables simultaneously and those tables have at least one of their primary key fields in common. Cluster tables reduce the number of database reads and thereby improve performance.
    Restrictions on Pooled and Cluster Tables
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    3. You cannot use the ABAP/4 constructs select distinct or group by.
    4.You cannot use native SQL.
    5.You cannot specify field names after the order by clause. order by primary key is the only permitted variation.
    For creation of pooled /cluster table, have  a look at below link.
    http://help.sap.com/saphelp_erp2004/helpdata/en/81/415d363640933fe10000009b38f839/frameset.htm
    For creation of table pool /cluster, have  a look at below link.
    http://help.sap.com/saphelp_erp2004/helpdata/en/81/415d363640933fe10000009b38f839/frameset.htm
    Have a look at below link.
    http://www.sap-img.com/abap/the-different-types-of-sap-tables.htm
    Best Regards,
    Vibha
    *Please mark all the helpful answers

  • Generic extractors on pool table and Cluster tables

    Good Afternoon all,
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    Hi
    you cannot do generic extraction directly on pooled or cluster tables.
    You can create a function module, then you can create a Generic Data source based on this..
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    Edited by: Teja badugu on Apr 15, 2008 12:24 PM

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

    Hello,
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    Check following link to see differences b/w TempTable & TableVariable: http://sqlwithmanoj.com/2010/05/15/temporary-tables-vs-table-variables/
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    ~manoj | email: http://scr.im/m22g
    http://sqlwithmanoj.wordpress.com
    MCCA 2011 | My FB Page

  • 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.
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    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.
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  • 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?
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    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.

  • DATA BASE TABLE AND INTERNAL TABLE

    Dear Friends,
    please help me out in getting complete information about database table and internal table.
    you can email me at < Removed by moderator - please maintain e-mail iDs in Business Card>
    Message was edited by:
            Arun Varadarajan

    Hi Hazi,
    <b>DATABASE Tables :</b>
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    for more information...
    http://www.sapbrainsonline.com/TUTORIALS/TECHNICAL/dictionary_tutorial.html
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    internal tables are not exist phyiscally in the system. its like a array. the existance of the internal tables is upto the program execution in which u r declaring nd using it...
    for more information..
    http://www.sapbrainsonline.com/TUTORIALS/TECHNICAL/internaltables_tutorial.html
    Hope it will solve ur problem..
    <b>Reward points if useful..</b>
    Thanks & Regards
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  • Check table and value table -Example

    Hi Experts
                  Please give me the step by step procedure to create the check table and value table, and how to work on it.
    Thanks in advance.
    Regards
    Rajaram

    Hi
    Check Table is for Field level Validation whereas Value table is for Domain Level Validations.
    Value Table proposes table for check table.
    I think you are clear with this.
    more elaborate.
    Check Table
    The Check Table is the table used by system to check if a data exist or not exist.
    While creating a table if you want to be sure that a field can have some values
    and these are in a certain table, you can give IT this table as CHECK TABLE.
    Value Table
    This is maintained at Domain Level.
    When ever you create a domain , you can entered allowed values. For example you go to Domain SHKZG - Debit/credit indicator.
    Here only allowed values is H or S.
    When ever you use this Domain, the system will forces you to enter only these values.
    This is a sort of master check . .
    To be maintained as a customization object.
    This mean that if you want to enter values to this table you have to create a development request & transport the same.
    Differences:
    1)check table will carry out the check for input values for the table field being entered in any application
    and value table will provide values on F4 help for that table field.
    2)The check table defines the foreign keys and is part of the table definition.
    The value table is part of the domain definition.
    check table is validation at field level.
    value table is at domain level.
    Value table is defined at the domain level and is used to provide F4 help for all the fields which refer to that domain.
    Check table is defined against a field in SE11 if you want the values in that field to be checked against a list of valid values. For e.g. if you are using the field matnr in a table you could define MARA as the check table.
    Also while defining a check table SAP proposes the value table as check table by default. Referring to the previous example if you tried to define a check table for the matnr field SAP would propose MARA as the check table.
    1. what is the purpose / use ?
    -- so that the user can select values
    from some master table , for that field !!!!
    2. This is done by
    CHECK TABLE (foreign key concept)
    (and not value table)
    3. When we create a check table for a field,
    then
    some DEFAULT table is PROPOSED
    4. that DEFAULT table is nothing
    but PICKED up from the domain of that field,
    and shown from the value of VALUE TABLE.
    CHECK TABLE -it is a parent table.
    for example..
    i have two tables ZTAB1 and ZTAB2.
    I have one common field in both the tables,i can make any ztable to be the check table .If i make Ztab1 to be the check table then when i have to make an entry in ztab2 i will check whether ztab1 is having that value or not..
    its also field level checking..
    Valuetable-It is nothing but default check table.
    one parent can have n number of child tables.For example
    For ztable we have zchild1 and zchild2 tables r there.
    Its domain level checking..When zchild2 uses the same domain as used by zchild1 then the system automatically generates a popup saying a check table already exists would u want to maintain it.
    go to domain and then press the value tab u can see the valuetable at the end...
    Please refer the links below,
    d/r b/n check and value table?
    wjhat is the exct difference between check table and value table
    what is the check table and value table
    check table and value table
    Re: wjhat is the exct difference between check table and value table
    http://www.sap-img.com/abap/difference-between-a-check-table-and-a-value-table.htm

  • Number of Entries in Dimension Tables and Fact Tables

    Hi all,
    is there an easy way to check
    - the number of entries in the dimension tables
    - the number of entries in the fact table?
    Thanks  a lot
    Alex

    Hi Alex,
    If u want to see the content of Dimension table and Fact table for a infocube then just right click on a particular info cube then select manage . Select coneten tab there , form there u can either select Fact table to see the fact table conten or Infocube content to see the Dimensiontable content.
    Regards..

  • 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

  • Sizeof fact table and dimension table

    Hi Experts ,
    Can you tell me how to measure the size of dimension table and fact tables and how to find the ratio of size of dimension table to the size of fact table.
    Thanks in advance,
    Thanks and Regards
    Ram Kommineni

    Hi,
    The ratio of size of fact table to dimension table is ideally should be 10:1. That means the size of the dimension tables should be 10% of the size of the fact table. This serves better in terms of performance.
    Whenever you load any cube, you can easily find out the number of records in fact table (E and F table) and the dimension tables. Based on that statistics you can determine the ratio of size in fact and dimension tables.
    Hope this info helps you.
    Regards,
    Yogesh.

  • 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

  • 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.

  • Reg value table and check table

    Hi Friends,
        I have defined a value table(ZVALTAB) for a domain and defined the relation ship between check table(ZCHKTAB) and dependent table(ZDEPTAB). Here value table and check table both are different. My problem is while I am entering the values into check table, it is not restricting the values to enter into check table even those values are not in value table. And while I am entering values into the dependent table through the menu option Utilities->Create entries then also foreign key is not working. But when I use the SM30 then the foreign key is working. So can any body explain me when this value table restrict the values and why the option Utilities->Create entries is not validating the foreign key relation ship.
    Sathish Reddy

    Hi,
      Value Table will just provide you the possible set of values.  It won't restrict u for the wrong entries.  Moreover whenever u enter entries thru Create entries no user interface is available.  The constraints whatever we give is not at all stored in the Data Dictionary.  Only the user interface which takes care all about this.  Hence it wont restrict you.  For this u have to create table maintenance generator for your table.  Then it will restrict the values against check table.
    Both Value table and Check table will provide u possible set of values.  But only the check table will restrict the values.
    Hope this will help u.

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