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SQL Academy · Lesson

Spatial Indexes (GiST)

Make location queries fast.

Why Location Queries Get Slow

Imagine a table with millions of restaurant locations. If you ask "Find all restaurants within 5 km of me," the database must check every single row to compute the distance. This is called a sequential scan, and it becomes painfully slow as the table grows.

Spatial indexes solve this by organizing geometry data into a tree structure, letting the database skip large portions of the table instantly.

What Is a GiST Index?

GiST stands for Generalized Search Tree. It is a flexible index framework built into PostgreSQL that supports many data types, including geometric shapes and PostGIS geometry.

Unlike a B-tree index (which works on sortable values like integers or strings), GiST can index multi-dimensional data such as points, polygons, and lines. PostGIS uses GiST internally to build its spatial indexes.

All lessons in this course

  1. Spatial Data Types
  2. Distance and Nearest Neighbors
  3. Spatial Joins and Containment
  4. Spatial Indexes (GiST)
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