About Parallel Processing

Oracle Data Miner uses the specifications in a workflow to create SQL queries. These queries are passed and run in the Oracle Database.

In Parallel Query or Parallel Processing, multiple processes work simultaneously to run a single SQL statement. By dividing the work among multiple processes, the Oracle Database can run the statement more quickly. For example, suppose four processes handle four different quarters in a year instead of one process handling all four quarters by itself.

The benefits of Parallel Processing:

• Reduces response time for data-intensive operations on large databases such as data warehouses.

• Enhances performance of symmetric multiprocessing (SMP) as statement processing are split up among multiple systems. Certain types of OLTP and hybrid systems also benefit from parallel processing.

In Oracle RAC systems, the service placement of a specific service controls parallel processing. Specifically, parallel processes run on the nodes on which the service is configured. By default, Oracle Database runs parallel processes only on an instance that offers the service used to connect to the database. This does not affect other parallel operations such as parallel recovery or the processing of GV$ queries.

Parallel processing must be configured by a Database Administrator (DBA). For more information on parallel processing in Oracle Database, see:

• Oracle Database Data Warehousing Guide or Oracle Database VLDB and Partitioning Guide for more information about parallel processing

• Oracle Real Application Clusters Administration and Deployment Guide for considerations about parallel processing in Oracle RAC environments