---
title: "PostGIS Performance: Intersection Predicates..."
url: https://daily.dev/posts/postgis-performance-intersection-predicates--qvmouzxcq
source_url: https://www.crunchydata.com/blog/postgis-performance-intersection-predicates-and-overlays
type: article
source: "Crunchy Data"
published: 2025-11-14T18:11:45.662Z
updated: 2025-11-14T18:12:06.377Z
tags: ["performance", "sql", "postgresql"]
reading_time: 4
upvotes: 0
comments: 0
language: en
---

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# PostGIS Performance: Intersection Predicates...

**[Crunchy Data](https://daily.dev/sources/crunchydata)** · 4 min read · 0 upvotes · 0 comments

## Summary

Boolean spatial predicates like ST_Intersects and ST_Contains are significantly faster than spatial overlay operations like ST_Intersection. When clipping geometries within a boundary, you can optimize performance by using a CASE statement to separate fully contained features (which don't need clipping) from boundary-crossing features (which do). This approach uses fast predicates to filter geometries into two streams, applying the expensive ST_Intersection only when necessary, resulting in measurable performance improvements even on small datasets.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.crunchydata.com/blog/postgis-performance-intersection-predicates-and-overlays>

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Tags: [#performance](https://daily.dev/tags/performance), [#sql](https://daily.dev/tags/sql), [#postgresql](https://daily.dev/tags/postgresql)

[View this post on daily.dev](https://daily.dev/posts/postgis-performance-intersection-predicates--qvmouzxcq)
