September 2023 Summaries

This article explores the similarities between Rust and EdgeDB, a distributed database management system that uses its own query language called EdgeQL. The author highlights how both technologies prioritize performance, safety, and expressiveness in their design. Some of the key points discussed include: 1. Zero-cost abstractions: Both Rust and EdgeDB aim to provide high-performance solutions without sacrificing developer productivity or code readability. 2. Compiler messages: Rust is known for its helpful error messages, which guide developers towards fixing issues in their code. EdgeDB also strives to offer informative and actionable compiler messages. 3. Everything is an expression: In both Rust and EdgeQL, expressions can be used interchangeably with values, allowing for more concise and expressive code. 4. Tips and tricks for Rust developers using EdgeDB: The article provides some examples of how concepts from Rust (such as structs, tuples, enums, and functions) translate into their EdgeDB equivalents. 5. Adding strict typing when you can't use Rust: For those who work with less strict languages like JavaScript but still want to benefit from type safety and expressiveness, using a database like EdgeDB can help enforce stricter data validation rules. Overall, this article serves as an introduction for Rust developers interested in exploring the capabilities of EdgeDB.

EdgeDB's integration with Rust over the past five years highlights a shared commitment to strong typing and expressiveness, enhancing the development of correct and maintainable code by shifting the burden from the developer to the language itself. This synergy is exemplified by EdgeDB's transition of its CLI and parser to Rust, reflecting a mutual emphasis on type safety and compiler assistance in both technologies. EdgeDB's design, akin to Rust's leveraging of LLVM, utilizes PostgreSQL as a backend to reduce implementation complexity and benefit from existing optimizations. Additionally, EdgeDB's handling of migrations resonates with Rust's refactoring approach, ensuring that changes are applied only when type safety and constraints are satisfied, which parallels Rust's "if it compiles, it works" philosophy. Both EdgeDB and Rust emphasize zero-cost abstractions and aim to minimize runtime errors by making compile-time checks robust and informative. EdgeDB's query language, EdgeQL, allows for expressive and efficient data retrieval akin to Rust's iterator methods, ensuring performance without sacrificing clarity. Through its strong typing, absence of NULL, and structured data operations, EdgeDB presents itself as a compelling choice for developers familiar with Rust, offering a database experience that aligns with the language's principles of safety and performance.