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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'
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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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The Transform Parameter
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Suppose you are importing a table from a different schema or even a different database. Let s say you want to make sure that you don t also import the objects storage attributes during the import you just want to bring in the data that the table contains. The TRANSFORM parameter lets you specify that your Data Pump Import job should not import certain storage and other attributes. Using the TRANSFORM parameter, you can exclude the STORAGE and TABLESPACE clauses, or just the STORAGE clause, from a table or an index. During a Data Pump (or traditional) import, Oracle creates objects using the DDL that it finds in the export dump files. The TRANSFORM parameter instructs Data Pump Import to modify the DDL that creates the objects during the import job.
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CHAPTER 14 USING DATA PUMP EXPORT AND IMPORT
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The TRANSFORM parameter has the following syntax: TRANSFORM = transform_name:value[:object_type] where the syntax elements represent the following: Transform name: You can modify four basic types of an object s characteristics using four possible options for the TRANSFORM_NAME component. Here are the options and what they stand for: SEGMENT ATTRIBUTES: Segment attributes include physical attributes, storage attributes, tablespaces, and logging. You can instruct the import job to include the previous attributes by specifying SEGMENT_ATTRIBUTES=Y (the default for this parameter) as the transform name. When you do this, the import job will include all four of the segment attributes, along with their DDL. STORAGE: You can use the STORAGE=Y (default) specification to get just the storage attributes of the objects that are part of the import job. OID: If you specify OID=Y (the default value), a new OID is assigned to object tables during the import. PCTSPACE: By supplying a positive number as the value for this transform, you can increase the extent allocation size of objects and the data file size by a percentage equal to the value of PCTSPACE. Value: The value of the TRANSFORM parameter can be Y (yes) or N (no). You ve already seen that the default value for the first three transform names is Y. This means that, by default, Data Pump imports an object s segment attributes and storage features. Alternatively, you can set the value for these parameters to N. If you assign a value of N, you specify not to import the original segment attributes and/or the storage attributes. The PCTSPACE transform name takes a number as its value. Object type: The object type specifies which types of objects should be transformed. You can choose from tables, indexes, tablespaces, types, clusters, constraints, and so on, depending on the type of transform you re employing for the TRANSFORM parameter. If you don t specify an object type when using the SEGMENT_ATTRIBUTES and STORAGE transforms, the transforms are applied to all tables and indexes that are part of the import. Here s an example of using the TRANSFORM parameter: $ impdp hr/hr TABLES=hr.employees \ DIRECTORY=dpump_dir1 DUMPFILE=hr_emp.dmp \ TRANSFORM=SEGMENT_ATTRIBUTES:N:table In this example, the SEGMENT_ATTRIBUTES transform is applied with the value of N. The object type is table. This specification of the TRANSFORM parameter means that the import job will not import the existing storage attributes for any table.
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