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My PostgreSQL Queries Were Destroying Our App at Scale — Here's How I Fixed Them

DEV Community·우병수·6 months ago
#eoeMXVPU
#slow#set#n1#query#index
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TL;DR: Everything works great until it doesn't. I've watched dashboards look perfectly healthy — p50 latency under 50ms, error rate flat — right up until a table crosses 500k rows and suddenly specific endpoints start timing out.

📖 Reading time: ~45 min

What's in this article

The Moment You Know You Have a Query Problem

Step 1: Enable the Tools You Actually Need

Start with pg_stat_statements — Everything Else Is Guesswork

Step 2: Read EXPLAIN ANALYZE Without Guessing

The Index Mistakes I See Most Often

N+1 Queries: The Silent Killer in ORM-Heavy Apps

VACUUM, ANALYZE, and Table Bloat — The Stuff Nobody Talks About

The Autovacuum Lie (And How to Stop Falling For It)

The Moment You Know You Have a Query Problem

Everything works great until it doesn't. I've watched dashboards look perfectly healthy — p50 latency under 50ms, error rate flat — right up until a table crosses 500k rows and suddenly specific endpoints start timing out. The failure mode is never gradual.…

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