TL;DR
PostgreSQL has been rewritten in Rust, a move aimed at improving safety and performance. The new implementation now passes all regression tests, signaling a major milestone. The development could influence future database projects and adoption.
PostgreSQL’s core codebase has been rewritten in Rust and is now passing 100% of its regression tests, according to the project’s developers. This marks a significant milestone in the effort to modernize the database system with a focus on safety, concurrency, and performance.
The rewrite was initiated by a team of developers aiming to leverage Rust’s memory safety features and modern concurrency capabilities. After extensive development and testing, the new Rust-based PostgreSQL engine has successfully completed all the standard regression tests used to verify database stability and correctness. The project remains in the experimental phase but has demonstrated promising results, including improved stability and potential performance benefits.
According to the project’s lead developer, the transition to Rust was motivated by the need to reduce common bugs related to memory management and to enhance the overall robustness of the database system. The team reported that the new implementation now passes all previously challenging regression scenarios, which previously required manual fixes or patches.
Implications for Database Reliability and Development
This achievement could mark a turning point for database development, highlighting Rust’s suitability for critical infrastructure software. Passing all regression tests suggests the Rust rewrite is approaching production readiness, potentially enabling safer, more reliable database deployments. It may influence other open-source projects to consider Rust for core system rewrites, leading to broader industry shifts towards safer programming languages in critical software.

APRENDE PostgreSQL: Domina la Base de Datos Relacional Más Poderosa del Mundo (Data&AI España) (Spanish Edition)
As an affiliate, we earn on qualifying purchases.
As an affiliate, we earn on qualifying purchases.
Background of PostgreSQL’s Code Modernization Efforts
PostgreSQL, one of the most widely used open-source relational databases, has traditionally been written in C. Over recent years, there has been growing interest in rewriting or extending core components in languages like Rust that offer memory safety and concurrency advantages. The current development effort began roughly two years ago, with initial prototypes and incremental testing. The project aims to demonstrate whether Rust can fully replace C in a complex, mature database system.
Prior to this milestone, the Rust-based version had shown partial success, passing some but not all regression tests. The recent achievement of passing 100% of tests indicates significant progress towards stability and potential adoption.
“Achieving full regression test pass rate in Rust is a major milestone; it shows that Rust can handle the complexities of a production-grade database system.”
— Project Lead Developer

Rust in Depth: Efficient Programming: Lifetimes, Traits, Async/Await, REST APIs, and Databases with Rust (Rust Programming)
As an affiliate, we earn on qualifying purchases.
As an affiliate, we earn on qualifying purchases.
Remaining Challenges and Validation in Real-World Use
While passing all regression tests is a significant step, it remains unclear how the Rust-based PostgreSQL will perform under real-world workloads, including scalability, concurrency, and integration with existing tools. The project is still in an experimental phase, and extensive field testing is needed before any production deployment can be considered.
Additionally, questions remain about community adoption, compatibility with extensions, and long-term maintenance of the Rust rewrite.

Django QuerySet Performance
As an affiliate, we earn on qualifying purchases.
As an affiliate, we earn on qualifying purchases.
Next Steps Toward Stable Release and Adoption
The development team plans to conduct extensive real-world testing, including performance benchmarking and stability assessments under various workloads. They will also seek feedback from early adopters and the broader PostgreSQL community. If successful, the Rust implementation could enter a formal release stage within the next year, potentially influencing future database development standards.
Further collaboration and testing are expected to clarify the path toward wider adoption and integration with existing PostgreSQL ecosystems.

Database Systems: Introduction to Databases and Data Warehouses, Edition 2.0
As an affiliate, we earn on qualifying purchases.
As an affiliate, we earn on qualifying purchases.
Key Questions
What benefits does rewriting PostgreSQL in Rust offer?
Rewriting in Rust aims to improve memory safety, concurrency handling, and overall robustness, potentially reducing bugs and increasing stability.
Is the Rust version of PostgreSQL ready for production use?
Not yet. While it has passed all regression tests in development, extensive real-world testing is still needed before it can be considered production-ready.
Could this lead to broader adoption of Rust in database systems?
Yes, if the Rust-based implementation proves stable and performant, it could encourage other projects to consider Rust for critical infrastructure software.
How does this compare to the traditional C implementation?
The Rust version aims to offer improved safety and potentially better concurrency, but it is still in development and not yet as mature as the existing C codebase.
What are the main challenges remaining for the Rust rewrite?
Key challenges include validating performance under real workloads, ensuring compatibility with extensions, and gaining community trust for production deployment.
Source: hn