In OGG you can configure replicat at the data at the schema level or at the table level using TABLE parameter of extract and MAP parameter of replicat.
For REPLICATING the entire database you can list all the schemas in the database in the extract/replicat parameter file.
Depending the amount of redo generation you can split the tables in a schema in multiple extracts and replicats to improve the performance of data REPLICATION. Alternatively youcan also group a set of tables in the confiuration by the application functionality.
Alternatively you may need to REMOVE tables which have long running transactions in a seperate extract process to eliminte lag on the other tables.
Let’s say that you have a schema NAMED SCOTT and it has 100 hundred tables.
Out of these hundred tables, 50 tables are heavily utilized by application.

To improve the overall replication performance you create 3 extract and 3 replicats as follows:
Ext_1/Rep_1 –> 25 tables
Ext_2/Rep_2 –> 25 tables
Ext_3/Rep_3 –> 50 tables
Ext_1/Rep_1 and Ext_2/Rep_2 contains 25 table each which are heavily utilized or generate more redo.
Ext_3/Rep_3 contains all the other 50 tables which are LEAST used.

In OGG you can configure replicat at the data at the schema level or at the table level using TABLE parameter of extract and MAP parameter of replicat.
For replicating the entire database you can list all the schemas in the database in the extract/replicat parameter file.
Depending the amount of redo generation you can split the tables in a schema in multiple extracts and replicats to improve the performance of data replication. Alternatively youcan also group a set of tables in the confiuration by the application functionality.
Alternatively you may need to remove tables which have long running transactions in a seperate extract process to eliminte lag on the other tables.
Let’s say that you have a schema named SCOTT and it has 100 hundred tables.
Out of these hundred tables, 50 tables are heavily utilized by application.

To improve the overall replication performance you create 3 extract and 3 replicats as follows:
Ext_1/Rep_1 –> 25 tables
Ext_2/Rep_2 –> 25 tables
Ext_3/Rep_3 –> 50 tables
Ext_1/Rep_1 and Ext_2/Rep_2 contains 25 table each which are heavily utilized or generate more redo.
Ext_3/Rep_3 contains all the other 50 tables which are least used.