Data Pump Export-Import Performance tips

Oracle Data Pump offered lots of benefits & performance gain over original Export/Import. We can tremendously increase data pump export/import performance by considering following several methods:

Export performance tips:

  • parallelism in data pump. 

With the help of PARALLEL parameter ( tuning parameter ), we can achieve dynamic increase & decrease of resource consumption for each job. Worker (Parallel) count should be EXACT no of dump file & twice the number of CPU’s (two workers for each CPU).

Degree of parallelism is directly proportional to memory consumption, CPU usage & I/O bandwidth usage.

To maximize parallelism use substitution variables in your file names (for example, dump_file%u.dmp), putting multiple dump file on multiple disk or channel will also help to increase IO performance.

Consider following example, into this we are exporting full database with the help of PARALLEL parameter, this export will create 4 dump files on dump directory.
[oracle@oracle ~]$ expdp system/manager directory=data_pump_bkup dumpfile=full_db_export%U.dmp logfile=Parallel_export.log full=y PARALLEL=4

Master table “SYSTEM”.”SYS_EXPORT_FULL_01″ successfully loaded/unloaded
Dump file set for SYSTEM.SYS_EXPORT_FULL_01 is:
Job “SYSTEM”.”SYS_EXPORT_FULL_01″ successfully completed at 11:18:21

This feature is limited to Oracle Enterprise Edition 11g & onward.


  • Use large Undo tablespace & temporary tablespace

Create and assign large Undo tablespace & temporary tablespace to user who suppose to export or import.


Export data pump utility uses internal performance data or database statics to export database, we will be beneficial in data pump performance gain if we consider following Procedures to execute right before data pump export.



Execute following DBMS_STATS packages as sys ( as sysdba ) user:


PL/SQL procedure successfully completed.



PL/SQL procedure successfully completed.



PL/SQL procedure successfully completed.
Import Performance tips:

Increase the size of pga_aggregate_target, this will help you to increase data pump performance.
You should check your existing memory size on your system ( subtract SGA size ) before setting size for pga_aggregate_target.


  • Use large Undo tablespace & temporary tablespace

Create and assign large Undo tablespace & temporary tablespace to user who suppose to export or import.


  • Exclude statistics

We will also beneficial in import performance gain if we exclude statistics at the time of import, because only single data pump thread has been used to calculate statistics whether we considering parallelism or not.

Don’t forget to execute DBMS_STATS packages exactly after import done.


We can increase data pump Export/Import performance by above methods.

Note: Please don’t hesitate to revert in case of any query OR feedback.

Thanking you.

Have a easy life ahead.

One thought on “Data Pump Export-Import Performance tips”

  1. Hi, I am trying to export dump of 64GB tablespace on by using parallel=8 & CLUSTER=N options using expdp. It’s taking an hour to do so. Can something be done to make it run faster & complete in 10-15 mins. Our ultimate goal is take export dump of biggest tablespace which is 1 TB in 1-2 hours.

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