Setup is quite simple to get started. First, create a directory object in the database:
CREATE DIRECTORY expdumpdir AS '/u01/oraexport';
Then grant the approriate privileges on that directory object:
GRANT READ,WRITE ON DIRECTORY expdumpdir TO mydba;
One difference encountered between Oracle 10g and Oracle 11g is the compression variable. In Oracle 10g you can compress metadata only, which is the default option:
COMPRESSION = (METADATA_ONLY | NONE)
However in Oracle 11g, you have the added options of compressing data, metadata, or both:
COMPRESSION = (ALL | DATA_ONLY | METADATA_ONLY | NONE
In my search for additional compression information, I found some debate on the better process when comparing the Data Pump compression approach with the expdp/gzip approach.
A nice comparison example of Oracle 11g Data Pump vs. OS compression utility (gzip) can be found on RajaBaskar Thangaraj’s blog.
Also encountered an error based on the value of my database
COMPATIBLE parameter. After installing Patch 8833297 – 22.214.171.124.1 Patch Set Update (October 2009 PSU), this value was set to
% expdp / dumpfile=my11gdb.dmp logfile=my11gdb.log full=y directory=expdumpdir job_name=my11gdb_fullexp compression=all
Export: Release 126.96.36.199.0 - 64bit Production on Wednesday, 13 January, 2010 11:42:09
Connected to: Oracle Database 11g Enterprise Edition Release 188.8.131.52.0 - 64bit Production
ORA-39001: invalid argument value
ORA-39021: Database compatibility version 184.108.40.206.1 is not supported.
By default, Data Pump uses the value set in your
COMPATIBLE parameter. The value I have set,
220.127.116.11.1, is obviously not valid. To correct the problem, I simply added the
VERSION=LATEST parameter to the command line and the process completed successfully.
% expdp / dumpfile=my11gdb.dmp logfile=my11gdb.log full=y directory=expdumpdir job_name=my11gdb_fullexp compression=all version=latest
My usage of Oracle Data Pump at the moment is very basic. However I have attended at least one presentation by Arup Nanda showing additional uses of Data Pump which is quite versatile depending upon your needs.