Soar is a suite of specialized tools designed for analyzing MySQL performance, advising on indexing, and optimizing SQL syntax. It functions as a performance analyzer, index advisor, and query optimizer to identify bottlenecks and suggest structural improvements for faster execution.
The project distinguishes itself through a system for rewriting SQL statements into optimized equivalent versions using custom heuristic rules and patterns. It also features a dedicated index advisor that evaluates query patterns and database metadata to recommend the creation of new indexes.
Its broader capabilities include SQL syntax validation across multiple dialects, execution plan visualization and tracing, and the consolidation of multiple table alteration statements to reduce database overhead. The toolset also provides query fingerprinting for deduplication, implicit conversion detection, and the generation of optimization reports in Markdown, HTML, and JSON formats.