🔗 PostgreSQL materialized views: when caching your query results makes sense (and when it doesn't)

Your dashboard queries are timing out at 30 seconds. Your BI tool is showing spinners. Your users are refreshing the page, wondering if something’s broken.

You’ve indexed everything. You’ve tuned shared_buffers. You’ve rewritten the query three times. The problem isn’t bad SQL – it’s that you’re forcing PostgreSQL to aggregate, join, and scan millions of rows every single time someone opens that report.

Here’s a clear stance: repeated heavy computations are a design choice, not a badge of honour. If you’re running the same expensive calculation dozens of times a day, you’re choosing to do more work than necessary.

This post shows you how to turn one expensive query shape into a fast, indexed object with explicit freshness and operational control. Materialized views give you predictable reads when you’re willing to accept a refresh contract.