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Terminal Chai
Terminal Chai

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pgrust: The Open-Source Project Rewriting PostgreSQL in Rust

Rewriting a Database Giant: Meet pgrust

PostgreSQL is the bedrock of modern application development. It is incredibly stable and feature-rich, but it is built on a C codebase that started in the 1980s. In systems programming, legacy C architectures carry memory-safety risks and make core changes difficult.

pgrust is an experimental open-source project that aims to rewrite the entire PostgreSQL database engine from scratch in Rust.

The project recently hit a historic milestone: it now passes 100% of the official PostgreSQL 18.3 regression test suite (over 46,000 test queries).


What is pgrust?

pgrust is a native reimplementation of the Postgres query execution and storage layers. Unlike other projects that wrap Postgres or write extensions, pgrust is a complete rewrite of the database core itself.

Crucially, it is disk-compatible with PostgreSQL 18.3, meaning it can boot up and read from an existing Postgres database directory on your machine.


Key Technical Improvements

By shifting from C to Rust, pgrust introduces several modern engineering improvements:

1. Memory Safety

Rust’s strict compiler guarantees eliminate major classes of security vulnerabilities (like buffer overflows and dangling pointers) that frequently patch legacy C databases.

2. Thread-Per-Connection Model

Standard PostgreSQL uses a "process-per-connection" architecture, which consumes a lot of system memory. pgrust changes this to a "thread-per-connection" model, drastically reducing the overhead of open connections.

3. Massively Improved Performance

Because of its optimized query engine and thread-based architecture, early benchmarks show:

  • 50% faster execution on standard transaction workloads.
  • Up to 300x faster execution on analytical workloads.

Built with an "AI Agent Factory"

Rewriting a database with millions of lines of code is a monumental task. The authors of pgrust accomplished this by setting up an automated pipeline of concurrent AI coding agents.

The agents were tasked with explaining legacy C modules and drafting minimal Rust equivalents. This allowed the small engineering team to ship over 250,000 lines of safe Rust code in record time.


Conclusion

pgrust is not yet production-ready, but it represents a peek into the future of database architecture. By replacing aging systems-level C code with modern, safe, and thread-efficient Rust, pgrust is proving that even the most robust legacy software can be safely modernized.

Intrigued by memory-safe databases? Check out the pgrust GitHub Repository or join their Discord server.

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