Query Performance

Greenplum Database dynamically eliminates irrelevant partitions in a table and optimally allocates memory for different operators in a query.These enhancements scan less data for a query, accelerate query processing, and support more concurrency.

• Dynamic Partition Elimination

  In Greenplum Database, values available only when a query runs are used to dynamically prune partitions, which improves query processing speed. Enable or deactivate dynamic partition elimination by setting the server configuration parameter gp_dynamic_partition_pruning to ON or OFF; it is ON by default.

• Memory Optimizations

  Greenplum Database allocates memory optimally for different operators in a query and frees and re-allocates memory during the stages of processing a query.

Note

Greenplum Database uses GPORCA, the Greenplum next generation query optimizer, by default. GPORCA extends the planning and optimization capabilities of the Postgres optimizer. For information about the features and limitations of GPORCA, see Overview of GPORCA.

Parent topic: Querying Data