I love Rust for tokenising and parsing

The blog post discusses the author's experience using Rust for developing a static analysis tool for SQL, named sqleibniz, specifically targeting the SQLite dialect. The tool aims to perform syntax checks and validate the existence of tables, columns, and functions in SQL input. The author highlights the importance of creating a tokenizer and parser for SQL, emphasizing Rust's features that facilitate code deduplication through macros. The post details the implementation of an Abstract Syntax Tree (AST) and the use of traits to define nodes, which helps in managing code complexity. The author also shares insights on testing strategies, particularly the use of table-driven tests, which are adapted from Go to Rust. The testing framework includes macros for both passing and failing test cases, ensuring comprehensive coverage of the lexer and parser functionalities. The author expresses enthusiasm for Rust's capabilities in building robust software and plans to extend the project with a Language Server Protocol (LSP) server for SQL in the future.

- The author is developing a static analysis tool for SQL called sqleibniz using Rust.

- The tool focuses on syntax checks and validating SQL constructs against SQLite documentation.

- Rust's macros are utilized for code deduplication and simplifying the implementation of AST nodes.

- The author adapts table-driven testing from Go to Rust for effective testing of the lexer and parser.

- Future plans include creating an LSP server for SQL to enhance the development experience.