Are LLM agents good at join order optimization?

This research explores LLM agents for database join order optimization through iterative testing.

• •Agents test multiple join orders iteratively, learning from results to optimize query plans
• •Frontier models achieved 1.288x improvement in query latency and 41% P90 reduction on Join Order Benchmark
• •Handles complex queries where traditional optimizers fail with LIKE predicates
• •Structured outputs ensure proposed join orders remain valid through grammar enforcement
• •Anytime algorithm allows larger time budgets to incrementally improve performance

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