Joining of cluster  and pooled tables ,transparent tables

Hi,
I wanted to do join between  cluster  ,pooled and transparent tables  but inner join won't allow  to join between  transparent or cluster tables or pooled tables .  The requirements are that join should take place dynamically  between transparent ,cluster ,pooled tables .I have written the Function module for joining multiple tables for transparent tables but unable to implement same for the transparent and cluster or pooled tables.How to handle the joining of tables between pooled or cluster  and transparent tables kindly provide me the answer .
Thanks,
jahnavi.

Hi Jahnavi,
My suggestion would be... if you want to retrieve the data between cluster tables and transparent tables.. its better to go for views instead of cluster tables then that would be easier for you to retrieve the data
let us take one example BSEG its a cluster table where as there is one view VBSEGK it contains almost all the important fields needed so that u can make use of those or you can look into BSIK and BSAK tables so it better to avoid the cluster tables while retriving the data from the performance point of view

Similar Messages

  • Reg : Cluster and pool tables

    Hi All,
    I think this has been asked previously.
    Have a doubt, i think this area is kind of opaque.
    This is the scenario, we have standard business suite systems now i am going to get the data into hana using SLT how do i handle cluster and pool tables. Do i bring in the declustered data?
    I am aware that we can get the data from these tables into BW on hana, not sure if that is correct.
    What are the best practice approach for these table classes.
    How have you implemented these kind of scenarios.
    Message was edited by: Tom Flanagan

    Hello,
    SLT Supports replication of non-Unicode to Unicode systems.
    Includes cluster / pool tables, etc. (writes into transparent tables in SAP HANA system).
    Regards,
    Subbu

  • Can u create cluster and pooled tables in real time

    hi
        can u create cluster and pooled tables in real time.can u send data base tables name of above one.

    Hai Anil
    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

  • Doubt on cluster and pooled tables

    Dear experts
    i kno how to create a cluster and pooled table ..
    but in reality how a requirement comes to create a cluster or pooled table....
    plz kindly explain in detailed  
    thanks in advace
    somesh

    Hello,
    Hope the below link gives you an insight into how the pooled/cluster tables behave.
    http://help.sap.com/saphelp_46c/helpdata/EN/81/415d363640933fe10000009b38f839/frameset.htm
    For better understanding on how and when to create pooled/cluster table, refer to the below examples.
    All Condition tables i.e., Annn tables (pricing/discounts etc.,) belong to the table Pool KAPOL (Condition Pool) as the underlying concept is same across different condition tables, but, they have different Key (primary) fields.
    Accounting Document Segment (Line Item records) BSEG is a cluster table that belongs to the table cluster RFBLG. Also, other tables such as BSEC, BSED, BSES, BSET also come under the same table cluster as all of them possess the common Key i.e., BUKRS/BELNR/GJAHR.
    Please contact for further details. <removed_by_moderator>
    With Regards
    Vijay Gajavalli
    Edited by: Julius Bussche on Sep 4, 2008 8:40 AM

  • Reg cluster and pooled tables

    hi experts..
    can u pls give the names of some cluster and pooled tables?
    regards
    Sellavel

    Hello,
    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.
    A001
    A004
    A005
    A006
    A007
    A009
    A010
    A012
    A015
    A016
    A017
    A018
    A019
    A021
    A022
    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.
    AUAA
    AUAB
    AUAO
    AUAS
    AUAT
    AUAV
    AUAW
    AUAY
    BSEC
    BSED
    BSEG
    BSES
    BSET
    CDPOS
    Vasanth

  • Need of Cluster and Pool Table in SAP

    Can anybody explain an importance of Cluster and Pool Table concept in SAP.

    Hi Hema,
    Given link was Helping but still I have few things as part of concept of Cluster and Pool Tables.
    (1) As cluster and Pool, both are logical table in SAP, it doesn't have physical existence in Database. Means, a single database  table (Actual physical in database server ) may contain more than one pool and cluster tables' data. Likewise it decrease no of Tables at database server whereas the amount of data may remain same. So, my question is how does it benefit in respect of Memory space at database server or any other means.?
    (2). As per one of the difference between Cluster and Pool table - Tables pools doesn't need to have foreign key relationship whereas in case of cluster table it it must to have foreign key relationship. Why is it so..?
      Hope I have brought more clarity to my doubt.
    Regards,
    Chetan.

  • Differrence between table & transparent table

    Hi there ,
                      What is the differrence between table & transparent table.....?
    Thanks & Regrads
    Kaushik

    hi,
      transparent table one of type of table
    In Abap dictionaty we can create
    Transparent Tables
    Pooled and Clustered Tables
    These type of tables.
    The difference between pooled and clustered tables is
    Cluster tables and Pooled tables have many to one relationship with the underlying database.
    A table pool corresponds to a table in the database in which all records from the pooled tables assigned to it are stored.
    Several logical data records from different cluster tables can be stored together in one physical record in a table cluster.
    •     A pooled table cannot have the name having more than 10 characters.
    •     All the key fields of the pooled table must be of character data type.
    •     In pooled tables, the maximum length of the key field/data fields should not exceed the length of varkey/vardata of the pool respectively.
    •     In cluster table the records having the same key are stored in a single key in the cluster.
    •     If there is an overflow of the data records a continuation record is created with the same table key.
    structer - transparent table
    structer - transparent table
    http://help.sap.com/saphelp_nw04/helpdata/en/cf/21f0d1446011d189700000e8322d00/frameset.htm
    HOW 2 COMBINE TRANSPARENT AND CLUSTER TABLE WITHOUT USING FOR ALL ENTRIES?
    regards,
    pavan

  • Cluster and pooled tables

    when we will use cluster table , pooled table and transparent tables...

    FOr Tables
    http://www.erpgenie.com/abap/tables.htm
    For Tables
    <b>Pooled Tables, Table Pools, Cluster Tables, and Table Clusters</b>
    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.
    <b>Table Pools</b>
    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
    <b>Table Clusters</b>
    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
    <b>Working with Tables</b>
    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.
    Regards,
    Balaji
    **Rewards for helpful answers

  • Cluster and pool tables

    I make a join with a pool table the compiler writes
    Für Pool-Tabellen, Cluster-Tabellen und Projektions-Views ist JOIN
    for pool-Tables, Cluster-Tables and Projections-View is no JOIN allowed.
    What can I do to read the data from the table a005 in join.
    thanks.
    Waseem

    >
    Ahmad Waseem wrote:
    > What can I do to read the data from the table a005 in join.
    > thanks.
    > Waseem
    Hello Waseem,
    Ans is DONOT use JOIN. You have to use FOR ALL ENTRIES.
    You can JOIN only transperant tables. This is where JOIN scores over FOR ALL ENTRIES
    BR,
    Suhas

  • Reading Cluster and Pooled tables

    Hi,
         I have a requirement to read the following tables..
    BSEG, KNOV, CDPOS, T6B2Fand AUAA.
    out of which reading BSEG and CDPOS throwing timeout error. 20 million records each.
    The idea is to read these tables and split the primary key into individual keys and dump into a Z table.
    Your inputs are much valuable.
    Thanks
    AJ

    Hi,
    Please search the forum for the performance issues. These two table you've mentioned are very common giving performance issues. There are many posts on these table. Only option you have is using basic performance enhancement techniques.
    Thanks.
    Ravi

  • About Transparent Tables and Views..

    Greetings SAP Gurus...
    How does one differentiate between Tables, Views (are they the same as table views) and logical views?  What are the differences, if ever?
    Why is it better to create a view rather that create a table?
    Cheers!
    Philips

    Hi Phillips,
    The Different Types of SAP Tables
    What is transparent, cluster and pool table? Where and when we use these tables?
    Transparent Table : Exists with the same structure both in dictionary as well as in database exactly with the same data and fields.
    Pooled Table : Pooled tables are logical tables that must be assigned to a table pool when they are defined. Pooled tables are used to store control data. Several pooled tables can be cominied in a table pool. The data of these pooled tables are then sorted in a common table in the database.
    Cluster Table : Cluster tables are logical tables that must be assigned to a table cluster when they are defined. Cluster tables can be used to strore control data. They can also be used to store temporary data or texts, such as documentation.
    Could anyone tell me what is the major difference between Standard tables, Pooled tables and Clusterd Tables?
    A transparent table is a table that stores data directly. You can read these tables directly on the database from outside SAP with for instance an SQL statement.
    Transparent table is a one to one relation table i.e. when you create one transparent table then exactly same table will create in data base and if is basically used to store transaction data.
    A clustered and a pooled table cannot be read from outside SAP because certain data are clustered and pooled in one field.
    One of the possible reasons is for instance that their content can be variable in length and build up. Database manipulations in Abap are limited as well.
    But pool and cluster table is a many to one relationship table. This means many pool table store in a database table which is know as table pool.
    All the pool table stored table in table pool does not need to have any foreign key relationship but in the case of cluster table it is must. And pool and cluster table is basically use to store application data.
    Table pool can contain 10 to 1000 small pool table which has 10 to 100 records. But cluster table can contain very big but few (1 to 10) cluster table.
    For pool and cluster table you can create secondary index and you can use select distinct, group for pool and cluster table. You can use native SQL statement for pool and cluster table.
    A structure is a table without data. It is only filled by program logic at the moment it is needed starting from tables.
    A view is a way of looking at the contents of tables. It only contains the combination of the tables at the basis and the way the data needs to be represented. You actually call directly upon the underlying tables.
    Regards

  • Diff Bt Cluser and pool tables?

    HI,
    Wats the diff between the cluster and pool tables?
    Regards,
    KK

    Hi Kishore,
    Pooled and Cluster Tables
    Table pools (pools) and table clusters (clusters) are special table types in the ABAP Dictionary. The data from several different tables can be stored together in a table pool or table cluster. Tables assigned to a table pool or table cluster are referred to as pooled tables or cluster tables.
    A table pool or table cluster should be used exclusively for storing internal control information (screen sequences, program parameters, temporary data, continuous texts such as documentation). Data of commercial relevance is usually stored in transparent tables.
    Table Pools
    A table in the database in which all records from the pooled tables assigned to the table pool are stored corresponds to a table pool.
    The definition of a pool consists essentially of two key fields (Tabname and Varkey) and a long argument field (Vardata).
    Regards,
    VKreddy

  • Cluster tables , pool tables ,hashed tables?

    give me the examles of cluster and pool tables  & hashed tables ?

    <b>I. Transparent tables (BKPF, VBAK, VBAP, KNA1, COEP)</b>
    Allows secondary indexes (SE11->Display Table->Indexes)
    Can be buffered (SE11->Display Table->technical settings) Heavily updated tables should not be buffered.
    <b>
    II. Pool Tables (match codes, look up tables)</b>
    Should be accessed via primary key or
    Should be buffered (SE11->Display Table->technical settings)
    No secondary indexes
    Select * is Ok because all columns retrieved anyway
    <b>III. Cluster Tables (BSEG,BSEC)</b>
    Should be accessed via primary key - very fast retrieval otherwise very slow
    No secondary indexes
    Select * is Ok because all columns retrieved anyway. Performing an operation on multiple rows is more efficient than single row operations. Therefore you still want to select into an internal table. If many rows are being selected into the internal table, you might still like to retrieve specific columns to cut down on the memory required.
    Statistical SQL functions (SUM, AVG, MIN, MAX, etc) not supported
    Can not be buffered
    <b>IV. Buffered Tables (includes both Transparent & Pool Tables)</b>
    While buffering database tables in program memory (SELECT into internal table) is generally a good idea for performance, it is not always necessary. Some tables are already buffered in memory. These are mostly configuration tables. If a table is already buffered, then a select statement against it is very fast. To determine if a table is buffered, choose the 'technical settings' soft button from the data dictionary display of a table (SE12). Pool tables should all be buffered.
    regards,
    srinivas
    <b>*reward for useful answers*</b>

  • Clustertable and pooled table

    hi guru
    which type of data is store in cluster table and pooled table?
    what is relation between cluster and pooled table

    Hi,
    . Transparent tables (BKPF, VBAK, VBAP, KNA1, COEP)
    · Allows secondary indexes (SE11->Display Table->Indexes)
    · Can be buffered (SE11->Display Table->technical settings) Heavily updated tables should not be buffered.
    II. Pool Tables (match codes, look up tables)
    · Should be accessed via primary key or
    · Should be buffered (SE11->Display Table->technical settings)
    · No secondary indexes
    · Select * is Ok because all columns retrieved anyway
    III. Cluster Tables (BSEG,BSEC)
    · Should be accessed via primary key - very fast retrieval otherwise very slow
    · No secondary indexes
    · Select * is Ok because all columns retrieved anyway. Performing an operation on multiple rows is more efficient than single row operations. Therefore you still want to select into an internal table. If many rows are being selected into the internal table, you might still like to retrieve specific columns to cut down on the memory required.
    · Statistical SQL functions (SUM, AVG, MIN, MAX, etc) not supported
    · Can not be buffered
    IV. Buffered Tables (includes both Transparent & Pool Tables)
    While buffering database tables in program memory (SELECT into internal table) is generally a good idea for performance, it is not always necessary. Some tables are already buffered in memory. These are mostly configuration tables. If a table is already buffered, then a select statement against it is very fast. To determine if a table is buffered, choose the 'technical settings' soft button from the data dictionary display of a table (SE12). Pool tables should all be buffered.
    "Major difference betwen Standard tables,Pooled tables and Cluster Tables?
    1.A transparent table is a table that stores data directly. You can read these tables directly on the database from outside SAP with for instance an SQL statement.
    2.Transparent table is a one to one relation table i.e. when you create one transparent table then exactly same table will create in data base and if is basically used to store transaction data.
    3.A clustered and a pooled table cannot be read from outside SAP because certain data are clustered and pooled in one field.
    4.One of the possible reasons is for instance that their content can be variable in length and build up. Database manipulations in Abap are limited as well.
    5.But pool and cluster table is a many to one relationship table. This means many pool table store in a database table which is know as table pool.
    6.All the pool table stored table in table pool does not need to have any foreign key relationship but in the case of cluster table it is must. And pool and cluster table is basically use to store application data.
    7.Table pool can contain 10 to 1000 small pool table which has 10 to 100 records. But cluster table can contain very big but few (1 to 10) cluster table.
    8.For pool and cluster table you can create secondary index and you can use select distinct, group for pool and cluster table. You can use native SQL statement for pool and cluster table.
    9.A structure is a table without data. It is only filled by program logic at the moment it is needed starting from tables.
    10.A View is a way of looking at the contents of tables. It only contains the combination of the tables at the basis and the way the data needs to be represented. You actually call directly upon the underlying tables.
    'The table which store information about Structures and Tables are as follows:
    DD02L - table properties
    DD02T - table texts
    DD03L - field properties
    DD03T - field texts
    Creating cluster/pool tables:
    http://help.sap.com/saphelp_nw04/helpdata/en/cf/21f0b7446011d189700000e8322d00/content.htm
    creating transparent tables
    http://help.sap.com/saphelp_nw04/helpdata/en/cf/21eb6e446011d189700000e8322d00/frameset.htm
    Thanks,
    Reward If Helpful.

  • Cluster VS pooled

    hey,
       what is the main difference bet cluster and pooled tables where we use which one which one is better?

    Check out these threads
    Difference between Cluster table & Pooled Table
    Re: pooled and cluster tables
    EXAMPLES
    http://help.sap.com/saphelp_nw04/helpdata/en/cf/21f083446011d189700000e8322d00/content.htm
    Regards,
    Santosh

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