JIT Compiling Code in 5μs

7.2 relevance

Deep technical dive into JIT compilation latency, relevant to performance engineering and runtime systems.

General malisper.me

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Why It Matters

For a platform engineer evaluating database architectures, this shows how AI-assisted assembly generation can eliminate the traditional LLVM compile-time bottleneck, making JIT viable for every SQL query in analytical workloads.

Key Takeaways

Evaluate AI-assisted assembly JIT for your database or data pipeline when runtime schema variability makes LLVM-based compilation too slow.

Summary

Building a JIT compiler in Rust with AI assistance now achieves 5μs compile times, enabling per-query JIT compilation for databases like pgrust. The author demonstrates constructing a regex engine that directly targets assembly, bypassing LLVM or C/C++ generation to avoid high compile overhead. This approach makes JIT compilation practical for runtime-variable schemas and query patterns, not just programming language interpreters.

Author

malisper