1 Overview of Oracle Data Pump

Using Data File Copying to Move Data

The fastest method of moving data is to copy the database data files to the target database without interpreting or altering the data. With this method, Data Pump Export is used to unload only structural information (metadata) into the dump file. This method is used in the following situations:

• The TRANSPORT_TABLESPACES parameter is used to specify a transportable mode export. Only metadata for the specified tablespaces is exported.

• The TRANSPORTABLE=ALWAYS parameter is supplied on a table mode export (specified with the TABLES parameter). Only metadata for the tables, partitions, and subpartitions specified on the TABLES parameter is exported.

When an export operation uses data file copying, the corresponding import job always also uses data file copying. During the ensuing import operation, both the data files and the export dump file must be loaded.

When data is moved by using data file copying, the character sets must be identical on both the source and target databases.

In addition to copying the data, you may need to prepare it by using the Recovery Manager (RMAN) CONVERT command to perform some data conversions. You can do this at either the source or target database.

Using Direct Path to Move Data

After data file copying, direct path is the fastest method of moving data. In this method, the SQL layer of the database is bypassed and rows are moved to and from the dump file with only minimal interpretation. Data Pump automatically uses the direct path method for loading and unloading data when the structure of a table allows it. For example, if a table contains a column of type BFILE, then direct path cannot be used to load that table and external tables is used instead.

The following sections describe situations in which direct path cannot be used for loading and unloading:

• Situations in Which Direct Path Load Is Not Used

• Situations in Which Direct Path Unload Is Not Used

Situations in Which Direct Path Load Is Not Used

If any of the following conditions exist for a table, Data Pump uses external tables rather than direct path to load the data for that table:

• A global index on multipartition tables exists during a single-partition load. This includes object tables that are partitioned.

• A domain index exists for a LOB column.

• A table is in a cluster.

• There is an active trigger on a pre-existing table.

• Fine-grained access control is enabled in insert mode on a pre-existing table.

• A table contains BFILE columns or columns of opaque types.

• A referential integrity constraint is present on a pre-existing table.

• A table contains VARRAY columns with an embedded opaque type.

• The table has encrypted columns.

• The table into which data is being imported is a pre-existing table and at least one of the following conditions exists:

  • There is an active trigger

  • The table is partitioned

  • Fine-grained access control is in insert mode

  • A referential integrity constraint exists

  • A unique index exists

• Supplemental logging is enabled and the table has at least one LOB column.

• The Data Pump command for the specified table used the QUERY, SAMPLE, or REMAP_DATA parameter.

• A table contains a column (including a VARRAY column) with a TIMESTAMP WITH TIME ZONE datatype and the version of the time zone data file is different between the export and import systems.

Situations in Which Direct Path Unload Is Not Used

If any of the following conditions exist for a table, Data Pump uses the external table method to unload data, rather than direct path:

• Fine-grained access control for SELECT is enabled.

• The table is a queue table.

• The table contains one or more columns of type BFILE or opaque, or an object type containing opaque columns.

• The table contains encrypted columns.

• The table contains a column of an evolved type that needs upgrading.

• The table contains a column of type LONG or LONG RAW that is not last.

• The Data Pump command for the specified table used the QUERY, SAMPLE, or REMAP_DATA parameter.

Using External Tables to Move Data

When data file copying is not selected and the data cannot be moved using direct path, the external table mechanism is used. The external table mechanism creates an external table that maps to the dump file data for the database table. The SQL engine is then used to move the data. If possible, the APPEND hint is used on import to speed the copying of the data into the database. The representation of data for direct path data and external table data is the same in a dump file. Therefore, Data Pump might use the direct path mechanism at export time, but use external tables when the data is imported into the target database. Similarly, Data Pump might use external tables for the export, but use direct path for the import.

In particular, Data Pump uses external tables in the following situations:

• Loading and unloading very large tables and partitions in situations where parallel SQL can be used to advantage

• Loading tables with global or domain indexes defined on them, including partitioned object tables

• Loading tables with active triggers or clustered tables

• Loading and unloading tables with encrypted columns

• Loading tables with fine-grained access control enabled for inserts

• Loading tables that are partitioned differently at load time and unload time

• Loading a table not created by the import operation (the table exists before the import starts)

Using Conventional Path to Move Data

In situations where there are conflicting table attributes, Data Pump is not able to load data into a table using either direct path or external tables. In such cases, conventional path is used, which can affect performance.

Using Network Link Import to Move Data

When the Import NETWORK_LINK parameter is used to specify a network link for an import operation, SQL is directly used to move the data using an INSERT SELECT statement. The SELECT clause retrieves the data from the remote database over the network link. The INSERT clause uses SQL to insert the data into the target database. There are no dump files involved.

When the Export NETWORK_LINK parameter is used to specify a network link for an export operation, the data from the remote database is written to dump files on the target database. (Note that to export from a read-only database, the NETWORK_LINK parameter is required.)

Because the link can identify a remotely networked database, the terms database link and network link are used interchangeably.

Because reading over a network is generally slower than reading from a disk, network link is the slowest of the four access methods used by Data Pump and may be undesirable for very large jobs.

Supported Link Types

The following types of database links are supported for use with Data Pump Export and Import:

• Public (both public and shared)

• Fixed-user

• Connected user

Unsupported Link Types

The database link type, Current User, is not supported for use with Data Pump Export or Import.

Coordination of a Job

For every Data Pump Export job and Data Pump Import job, a master process is created. The master process controls the entire job, including communicating with the clients, creating and controlling a pool of worker processes, and performing logging operations.

Tracking Progress Within a Job

While the data and metadata are being transferred, a master table is used to track the progress within a job. The master table is implemented as a user table within the database. The specific function of the master table for export and import jobs is as follows:

• For export jobs, the master table records the location of database objects within a dump file set. Export builds and maintains the master table for the duration of the job. At the end of an export job, the content of the master table is written to a file in the dump file set.

• For import jobs, the master table is loaded from the dump file set and is used to control the sequence of operations for locating objects that need to be imported into the target database.

The master table is created in the schema of the current user performing the export or import operation. Therefore, that user must have the CREATE TABLE system privilege and a sufficient tablespace quota for creation of the master table. The name of the master table is the same as the name of the job that created it. Therefore, you cannot explicitly give a Data Pump job the same name as a preexisting table or view.

For all operations, the information in the master table is used to restart a job.

The master table is either retained or dropped, depending on the circumstances, as follows:

• Upon successful job completion, the master table is dropped.

• If a job is stopped using the STOP_JOB interactive command, the master table is retained for use in restarting the job.

• If a job is killed using the KILL_JOB interactive command, the master table is dropped and the job cannot be restarted.

• If a job terminates unexpectedly, the master table is retained. You can delete it if you do not intend to restart the job.

• If a job stops before it starts running (that is, before any database objects have been copied), the master table is dropped.

Filtering Data and Metadata During a Job

Within the master table, specific objects are assigned attributes such as name or owning schema. Objects also belong to a class of objects (such as TABLE, INDEX, or DIRECTORY). The class of an object is called its object type. You can use the EXCLUDE and INCLUDE parameters to restrict the types of objects that are exported and imported. The objects can be based upon the name of the object or the name of the schema that owns the object. You can also specify data-specific filters to restrict the rows that are exported and imported.

Transforming Metadata During a Job

When you are moving data from one database to another, it is often useful to perform transformations on the metadata for remapping storage between tablespaces or redefining the owner of a particular set of objects. This is done using the following Data Pump Import parameters: REMAP_DATAFILE, REMAP_SCHEMA, REMAP_TABLE,REMAP_TABLESPACE, TRANSFORM, and PARTITION_OPTIONS.

Maximizing Job Performance

Data Pump can employ multiple worker processes, running in parallel, to job increase performance. Use the PARALLEL parameter to set a degree of parallelism that takes maximum advantage of current conditions. For example, to limit the effect of a job on a production system, the database administrator (DBA) might want to restrict the parallelism. The degree of parallelism can be reset at any time during a job. For example, PARALLEL could be set to 2 during production hours to restrict a particular job to only two degrees of parallelism, and during nonproduction hours it could be reset to 8. The parallelism setting is enforced by the master process, which allocates work to be executed to worker processes that perform the data and metadata processing within an operation. These worker processes operate in parallel. In general, the degree of parallelism should be set to no more than twice the number of CPUs on an instance.

Loading and Unloading of Data

The worker processes are the ones that actually unload and load metadata and table data in parallel. Worker processes are created as needed until the number of worker processes equals the value supplied for the PARALLEL command-line parameter. The number of active worker processes can be reset throughout the life of a job. Worker processes can be started on different nodes in an Oracle Real Application Clusters (RAC) environment.

When a worker process is assigned the task of loading or unloading a very large table or partition, it may choose to use the external tables access method to make maximum use of parallel execution. In such a case, the worker process becomes a parallel execution coordinator. The actual loading and unloading work is divided among some number of parallel I/O execution processes (sometimes called slaves) allocated from a pool of available processes in an Oracle RAC environment.

Monitoring the Progress of Executing Jobs

Data Pump operations that transfer table data (export and import) maintain an entry in the V$SESSION_LONGOPS dynamic performance view indicating the job progress (in megabytes of table data transferred). The entry contains the estimated transfer size and is periodically updated to reflect the actual amount of data transferred.

Use of the COMPRESSION, ENCRYPTION, ENCRYPTION_ALGORITHM, ENCRYPTION_MODE, ENCRYPTION_PASSWORD, QUERY, REMAP_DATA, and SAMPLE parameters are not reflected in the determination of estimate values.

The usefulness of the estimate value for export operations depends on the type of estimation requested when the operation was initiated, and it is updated as required if exceeded by the actual transfer amount. The estimate value for import operations is exact.

The V$SESSION_LONGOPS columns that are relevant to a Data Pump job are as follows:

• USERNAME - job owner

• OPNAME - job name

• TARGET_DESC - job operation

• SOFAR - megabytes (MB) transferred thus far during the job

• TOTALWORK - estimated number of megabytes (MB) in the job

• UNITS - MB

• MESSAGE - a formatted status message of the form:

  'job_name: operation_name : nnn out of mmm MB done'
  

Specifying Files and Adding Additional Dump Files

For export operations, you can specify dump files at the time the job is defined, and also at a later time during the operation. For example, if you discover that space is running low during an export operation, you can add additional dump files by using the Data Pump Export ADD_FILE command in interactive mode.

For import operations, all dump files must be specified at the time the job is defined.

Log files and SQL files overwrite previously existing files. For dump files, you can use the Export REUSE_DUMPFILES parameter to specify whether to overwrite a preexisting dump file.

Default Locations for Dump, Log, and SQL Files

Because Data Pump is server-based rather than client-based, dump files, log files, and SQL files are accessed relative to server-based directory paths. Data Pump requires that directory paths be specified as directory objects. A directory object maps a name to a directory path on the file system. DBAs must ensure that only approved users are allowed access to the directory object associated with the directory path.

The following example shows a SQL statement that creates a directory object named dpump_dir1 that is mapped to a directory located at /usr/apps/datafiles.

SQL> CREATE DIRECTORY dpump_dir1 AS '/usr/apps/datafiles';

The reason that a directory object is required is to ensure data security and integrity. For example:

• If you were allowed to specify a directory path location for an input file, you might be able to read data that the server has access to, but to which you should not.

• If you were allowed to specify a directory path location for an output file, the server might overwrite a file that you might not normally have privileges to delete.

On UNIX and Windows NT systems, a default directory object, DATA_PUMP_DIR, is created at database creation or whenever the database dictionary is upgraded. By default, it is available only to privileged users. (The user SYSTEM has read and write access to the DATA_PUMP_DIR directory, by default.)

If you are not a privileged user, before you can run Data Pump Export or Data Pump Import, a directory object must be created by a database administrator (DBA) or by any user with the CREATE ANY DIRECTORY privilege.

After a directory is created, the user creating the directory object must grant READ or WRITE permission on the directory to other users. For example, to allow the Oracle database to read and write files on behalf of user hr in the directory named by dpump_dir1, the DBA must execute the following command:

SQL> GRANT READ, WRITE ON DIRECTORY dpump_dir1 TO hr;

Note that READ or WRITE permission to a directory object only means that the Oracle database reads or writes that file on your behalf. You are not given direct access to those files outside of the Oracle database unless you have the appropriate operating system privileges. Similarly, the Oracle database requires permission from the operating system to read and write files in the directories.

Data Pump Export and Import use the following order of precedence to determine a file's location:

1. If a directory object is specified as part of the file specification, then the location specified by that directory object is used. (The directory object must be separated from the file name by a colon.)

2. If a directory object is not specified as part of the file specification, then the directory object named by the DIRECTORY parameter is used.

3. If a directory object is not specified as part of the file specification, and if no directory object is named by the DIRECTORY parameter, then the value of the environment variable, DATA_PUMP_DIR, is used. This environment variable is defined using operating system commands on the client system where the Data Pump Export and Import utilities are run. The value assigned to this client-based environment variable must be the name of a server-based directory object, which must first be created on the server system by a DBA. For example, the following SQL statement creates a directory object on the server system. The name of the directory object is DUMP_FILES1, and it is located at '/usr/apps/dumpfiles1'.

   SQL> CREATE DIRECTORY DUMP_FILES1 AS '/usr/apps/dumpfiles1';
   

   Then, a user on a UNIX-based client system using csh can assign the value DUMP_FILES1 to the environment variable DATA_PUMP_DIR. The DIRECTORY parameter can then be omitted from the command line. The dump file employees.dmp, and the log file export.log, will be written to '/usr/apps/dumpfiles1'.

   %setenv DATA_PUMP_DIR DUMP_FILES1
   %expdp hr TABLES=employees DUMPFILE=employees.dmp
   

4. If none of the previous three conditions yields a directory object and you are a privileged user, then Data Pump attempts to use the value of the default server-based directory object, DATA_PUMP_DIR. This directory object is automatically created at database creation or when the database dictionary is upgraded. You can use the following SQL query to see the path definition for DATA_PUMP_DIR:

   SQL> SELECT directory_name, directory_path FROM dba_directories
   2 WHERE directory_name='DATA_PUMP_DIR';
   

   If you are not a privileged user, access to the DATA_PUMP_DIR directory object must have previously been granted to you by a DBA.

   Do not confuse the default DATA_PUMP_DIR directory object with the client-based environment variable of the same name.

SQL> CREATE or REPLACE DIRECTORY dpump_dir as '+DATAFILES/';

SQL> CREATE or REPLACE DIRECTORY dpump_log as '/homedir/user1/';

SQL> GRANT READ, WRITE ON DIRECTORY dpump_dir TO hr;
SQL> GRANT READ, WRITE ON DIRECTORY dpump_log TO hr;

> expdp hr DIRECTORY=dpump_dir DUMPFILE=hr.dmp LOGFILE=dpump_log:hr.log

Using Substitution Variables

Instead of, or in addition to, listing specific file names, you can use the DUMPFILE parameter during export operations to specify multiple dump files, by using a substitution variable (%U) in the file name. This is called a dump file template. The new dump files are created as they are needed, beginning with 01 for %U, then using 02, 03, and so on. Enough dump files are created to allow all processes specified by the current setting of the PARALLEL parameter to be active. If one of the dump files becomes full because its size has reached the maximum size specified by the FILESIZE parameter, it is closed, and a new dump file (with a new generated name) is created to take its place.

If multiple dump file templates are provided, they are used to generate dump files in a round-robin fashion. For example, if expa%U, expb%U, and expc%U were all specified for a job having a parallelism of 6, the initial dump files created would be expa01.dmp, expb01.dmp, expc01.dmp, expa02.dmp, expb02.dmp, and expc02.dmp.

For import and SQLFILE operations, if dump file specifications expa%U, expb%U, and expc%U are specified, then the operation begins by attempting to open the dump files expa01.dmp, expb01.dmp, and expc01.dmp. It is possible for the master table to span multiple dump files, so until all pieces of the master table are found, dump files continue to be opened by incrementing the substitution variable and looking up the new file names (for example, expa02.dmp, expb02.dmp, and expc02.dmp). If a dump file does not exist, the operation stops incrementing the substitution variable for the dump file specification that was in error. For example, if expb01.dmp and expb02.dmp are found but expb03.dmp is not found, then no more files are searched for using the expb%U specification. Once the entire master table is found, it is used to determine whether all dump files in the dump file set have been located.