pooled table and transparent table.

[Former Member]

what is the difference b/w pooled table and transparent table.

[Former Member]

Hi Amit,

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.

Check the following link

[http://help.sap.com/saphelp_nw04/helpdata/en/cf/21f083446011d189700000e8322d00/content.htm]

Anirban Bhattacharjee

Edited by: Craig Cmehil on Jul 4, 2008 10:32 AM

[matt]

have you considered searching these forums?

[Former Member]

Hi Amit,

Transparent table means there is one - one relation between the tables and pooled tables is one to many relationship between the tables.

Thanks & Regards,

Sandeep

Edited by: Craig Cmehil on Jul 4, 2008 10:32 AM

[Former Member]

Hi Amit,

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.

Check the following link

[http://help.sap.com/saphelp_nw04/helpdata/en/cf/21f083446011d189700000e8322d00/content.htm]

Anirban Bhattacharjee

Edited by: Craig Cmehil on Jul 4, 2008 10:32 AM

[Former Member]

Hi Amit.

The major differences of transparent table over pooled are:

1. Cardinality Aspect:

One to one relation - Transparent tables.

Many to one relation - Pooled tables.

This relation describes that:

When you create one transparent table then exactly same table will be created in database and it is basically used to store transaction data.

2. Outside SAP:

Can be read outside SAP - Transparent tables.

Cannot be read outside SAP - Pooled Tables.

3. Existence:

Exists with same structure in Database which means both in dictionary as well as in database exactly with the same data and fields - Transparent Tables.

The Data of pooled tables is sorted in a common table in the database.

Several of these pooled tables combine to form a TABLE-POOL.

This shows that the pooled tables are assigned to a Table-pool.

Regards

Harsh

Edited by: Craig Cmehil on Jul 4, 2008 10:32 AM

[matt]

>

> 2. Outside SAP:...
> Cannot be read outside SAP - Pooled Tables.
> 

Wrong.

[Former Member]

pool table store system dependent data

got many to 1 relation...

[Former Member]

Thanks Mathew.

I correct my mistake.

[matt]

You're welcome. Other than that it was pretty spot on.

matt

[Former Member]

hi Amit

<b>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. </b>

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.

<b>A clustered and a pooled table cannot be read from outside SAP because certain data are clustered and pooled in one field. </b>

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.

Amit

Edited by: Amit Kumar on Jul 8, 2008 8:28 AM

[Former Member]

Hi Amit,

Pool Table -

1) Many to One Relationship.

2) Table in the Dictionary has the different name, different number of fields, and the fields have the different name as in the R3 Table definition.

3) It can hold only pooled tables.

Transparent Table u2013

1) One to One relationship.

2) Table in the Dictionary has the same name, same number of fields, and the fields have the same name as in the R3 Table definition.

3) It can hold Application data.

Regards,

Sravanthi

[Former Member]

Hi

Pooled table is a group of related logical tables.An important difference between transparent table and the pooled table is that you cannot create secondary indices on pooled table

Transparent table stores application data where as pooled table stores system data.

Rewards Points if useful.

Thanks & Regards

Nikunj Shah

[Former Member]

Hi ,

First refer In Forums,search you will get more data.

If you want you can refer the the following:

please close the thread by awarding suitable points.

sno Transparent Tables Pooled tables Cluster Tables

1. A transparent table in the DDIC has one to one relationship with the table in the database. A pooled table in the DDIC has many to one relationship with table in the database. A Cluster table in the DDIC has many to one relationship with table in the database.

2. The database table has same name ,same no of fields, same field names as the R/3 table. The table in the database has different name than tables in DDIC, it has different number of fields and the fields have different names. The table in the database has different name than tables in DDIC, it has different number of fields and the fields have different names.

3. They are used to hold Application data. They are used to hold system configuration data. They are used to hold documentation data.

4 Same name in the data base. In the database it is stored along with the

other pooled tables in a single table called Table pool. In the database it is stored along with the other cluster tables in a single table called Table cluster.

5 Same name in the data base. R/3 uses table pool to hold Large no of small tables R/3 uses table cluster to hold Small no of large tables.

5 Same name in the data base. The table pool corresponds to a physical table in the database in which records of all the pooled tables are stored. Table clusters store data from several tables based on the primary key that they have in common.

6 Secondary indexes can be maintained We can not maintain secondary indices We can not maintain secondary indexes .

Rgds

Umakanth

[Former Member]

Hi,

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.

Thanks,

Naveen Kumar.