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Using the REMAP_SCHEMA parameter, you can move objects from one schema to another. You need to specify this parameter in the following manner: $ impdp system/manager DUMPFILE=newdump.dmp REMAP_SCHEMA=hr:oe In this example, HR is the source schema, and Data Pump Import will import all of user HR s objects into the target schema OE. The Import utility can even create the OE schema if it doesn t already exist in the target database. Of course, if you want to just import one or more tables from the HR schema and then into the OE schema, you can do that as well, by using the TABLES parameter.

The theoretical advantage of the first approach is that to move from database to database you need not change anything. I call it a theoretical advantage because the downside of this implementation is so huge that it makes this solution totally infeasible. What you d have to do to develop a totally databaseindependent process is to create a table such as ops$tkyte%ORA11GR2> create table id_table 2 ( id_name varchar2(30) primary key, 3 id_value number ); Table created. ops$tkyte%ORA11GR2> insert into id_table values ( 'MY_KEY', 0 ); 1 row created. ops$tkyte%ORA11GR2> commit; Commit complete. Then, in order to get a new key, you d have to execute the following code: ops$tkyte%ORA11GR2> update id_table 2 set id_value = id_value+1 3 where id_name = 'MY_KEY'; 1 row updated. ops$tkyte%ORA11GR2> select id_value 2 from id_table 3 where id_name = 'MY_KEY'; ID_VALUE ---------1

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When you are moving databases between two different platforms, each with a separate file-naming convention, the REMAP_DATAFILE parameter comes in handy to change file system names. The following is an example that shows how you can change the file system from the old Windows platform to the new UNIX platform. Whenever there is any reference to the Windows file system in the export dump file, the Import utility will automatically remap the filename to the UNIX file system. $ impdp hr/hr FULL=Y DIRECTORY=dpump_dir1 DUMPFILE=db_full.dmp \ REMAP_DATAFILE='DB1$:[HRDATA.PAYROLL]tbs6.f':'/db1/hrdata/payroll/tbs6.f'

This does not mean that you should avoid partitioning for OLTP; it means that you shouldn t expect partitioning to offer massive improvements in performance Most OLTP applications are not able to take advantage of the times where partitioning is able to enhance query performance, but you can still benefit from the other two possible partitioning benefits; administrative ease and higher availability Data Warehouse Systems In a data warehouse/decision-support system, partitioning is not only a great administrative tool, but also something that will speed up processing For example, you may have a large table on which you need to perform an ad hoc query You always do the ad hoc query by sales quarter, as each sales quarter contains hundreds of thousands of records and you have millions of online records.

Sometimes, you may want the tablespace into which you are importing data to be different from the tablespace in the source database. The REMAP_TABLESPACE parameter enables you to move objects from one tablespace into a different tablespace during an import, as shown in the following example. Here, Data Pump Import is transferring all objects from the tablespace example_tbs to the tablespace new_tbs. $ impdp hr/hr REMAP_TABLESPACE='example_tbs':'new_tbs' DIRECTORY=dpump_dir1 \ PARALLEL=2 JOB_NAME=TESTJOB_01 DUMPFILE=employees.dmp NOLOGFILE=Y

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