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postgresqljit-compilationdeveloper-toolsdatabase-optimization

Better JIT for Postgres

GitHub - vladich/pg_jitter: Better JIT for Postgres

github.com

March 4, 2026

7 min read

Summary

pg_jitter is a lightweight JIT compilation provider for PostgreSQL that introduces three alternative JIT backends: sljit, AsmJit, and MIR. It enhances query execution speed and compilation efficiency for PostgreSQL versions 14 to 18, addressing performance issues related to expression-heavy workloads and wide tables.

Key Takeaways

  • pg_jitter is a lightweight JIT compilation provider for PostgreSQL that introduces three alternative JIT backends: sljit, AsmJit, and MIR, which offer faster compilation and improved query execution times across PostgreSQL versions 14 to 18.
  • The compilation times for pg_jitter backends range from tens of microseconds to single milliseconds, significantly outperforming the default LLVM JIT, which can take tens to hundreds of milliseconds.
  • sljit is the most consistent backend, providing 5-25% faster performance than the interpreter across all workloads, while AsmJit is optimized for wide-row and deform-heavy queries, achieving up to 32% faster execution.
  • pg_jitter supports runtime backend switching and does not depend on LLVM, allowing for pure C/C++ implementations with small, embeddable libraries.

Community Sentiment

Mixed

Positives

  • The exploration of JIT frameworks for PostgreSQL indicates a growing interest in optimizing query performance, which could lead to significant improvements in database efficiency.
  • There is potential for AI to contribute to developing bespoke compilers for PostgreSQL, which could tailor optimizations to specific architectures and enhance performance.

Concerns

  • The standard LLVM-based JIT is criticized for being slow at compilation, limiting its effectiveness for many queries and suggesting a need for better alternatives.
  • Disabling JIT in PostgreSQL has been found to be a better default choice by some users due to significant slowdowns in query performance, raising concerns about its reliability.
Read original article

Source

github.com

Published

March 4, 2026

Reading Time

7 minutes

Relevance Score

55/100

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