Query Performance

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 disable 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 supports the Pivotal Query Optimizer. The Pivotal Query Optimizer extends the planning and optimization capabilities of the Greenplum Database legacy optimizer. For information about the features and limitations of the Pivotal Query Optimizer, see Overview of the Pivotal Query Optimizer.