Index types supported in Amazon Aurora PostgreSQL and Amazon RDS for PostgreSQL using extensions (SP-GiST, Btree_Gin and Btree_Gist)

This article explores three PostgreSQL extension-based index types for Aurora PostgreSQL and RDS for PostgreSQL: SP-GiST, btree_gin, and btree_gist.

• SP-GiST enables efficient spatial and prefix searches using partitioned search trees
• SP-GiST reduced nearest-warehouse query from 6 seconds to 6ms with proper indexing
• btree_gin creates unified GIN indexes combining array and scalar columns for read-heavy workloads
• btree_gin eliminates BitmapAnd operations by evaluating all conditions in single index scan
• btree_gist enables exclusion constraints and unified indexing for range-type and scalar columns
• btree_gist improved range overlap query performance from 4,237ms to 793ms
• GIN indexes have higher update overhead; GiST handles writes more efficiently
• Exclusion constraints prevent overlapping values across multiple columns at database level
• Test thoroughly on actual workloads before production deployment

These extensions address specific PostgreSQL indexing gaps, with SP-GiST for spatial data, btree_gin for read-heavy multi-column queries, and btree_gist for high-update workloads with range operations.