SOAR is a command-line SQL optimizer and rewriter that automatically analyzes and improves SQL queries for MySQL-compatible databases.
SOAR addresses the problem of suboptimal SQL performance by parsing queries and applying heuristic-based optimization algorithms to suggest improvements. It can rewrite queries to use better indexes, including multi-column indexes for complex operations like UPDATE, INSERT, DELETE, and SELECT statements. The tool also interprets EXPLAIN output in detail, generates SQL fingerprints, compresses and beautifies queries, and merges multiple ALTER requests on the same table. It supports custom rule-based SQL rewriting, allowing teams to enforce their own optimization standards.
Teams should adopt SOAR if they run MySQL-compatible databases and want automated SQL analysis integrated into their development or review workflows. It works well for organizations seeking to standardize query optimization practices without manual review of every statement. The tool runs cross-platform on Linux and Mac environments. The README includes a comparison document that positions SOAR against other SQL optimization tools, which can help determine fit relative to existing solutions.
The project maintains active issue tracking and community engagement through multiple channels. Development follows a structured roadmap with documented architecture and configuration guidance. The tool receives updates reflected in a detailed changelog, indicating ongoing maintenance and refinement of its optimization rules and capabilities.
