Partitioning

Partitioning allows processing of a single session across multiple session queues in parallel, providing more efficient performance. The more session queues you have running the faster the session can be processed. Large data sets (e.g. national data validation) can be broken down into multiple "partition" polygons, which can then be run in parallel across your session queues in order to process the whole data set more quickly.

When selecting data using multiple polygons, a partition is created for each polygon in a specified class in a dataset. In order to utilize partitioning, the following steps must be performed:

1. Create your partitions
2. Run a session using your partitions