Lesson 1267 of 2116
AI-Suggested Database Indexes from Slow Query Logs
Feed slow query logs to an LLM to draft index proposals — and the guardrails that keep them safe.
Lesson map
What this lesson covers
Learning path
The main moves in order
- 1The premise
- 2database-tuning
- 3indexes
- 4slow-query-logs
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Terms to connect while reading
Section 1
The premise
An LLM with the slow query log and the schema can propose candidate indexes well, but only EXPLAIN ANALYZE proves them.
What AI does well here
- Cluster slow queries by shape and propose covering indexes
- Spot missing indexes on frequent join keys
- Warn when a proposed index duplicates an existing one
- Draft a CREATE INDEX CONCURRENTLY migration with rollback
What AI cannot do
- Predict write amplification on your traffic shape
- Know storage cost ceilings unless you tell it
- Replace EXPLAIN ANALYZE on real production data
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