MySQL slow queries stem from improper index design and excessive data volume. Optimization strategies include dropping and rebuilding indexes (e.g., primary key, prefix, functional) and partitioning large tables by range, list, or hash. For automated management, open-source MySQL requires stored procedures and scheduled events to handle partition creation, reducing scan overhead and improving performance.