PostgreSQL Indexing: When BRIN Beats B-Tree

Summary:

If you're dealing with huge tables and struggling with B-Tree index bloat or slow bulk inserts, it's time to look at BRIN (Block Range Indexes).

This article explains:

What BRIN indexes are and how they work internally
How they compare to B-Tree indexes in terms of size, performance, and maintenance
When BRIN is a better choice, especially for:

• Time-series or append-only data

• Huge, cold partitions

• Queries filtering by time or sequential IDs

Key Takeaways:

• BRIN indexes are tiny and fast to build, ideal for large tables.

• They're not a B-Tree replacement, but a powerful companion in the right scenarios.

• Proper data ordering makes or breaks BRIN performance.

• Combine BRIN (e.g., on timestamps) with B-Tree (e.g., on IDs) for best results.

Check this post here: https://kiransabne.dev/postgresql-indexing-when-brin-is-a-better-choice-than-b-tree