mysql-best-practices

- Design schemas with appropriate storage engines (InnoDB for most use cases) - Optimize queries using EXPLAIN and proper indexing - Use proper data types to minimize storage and improve performance - Implement connection pooling and query caching appropriately - Follow MySQL-specific security hardening practices - Use InnoDB as the default engine (ACID compliant, row-level locking) - Consider MyISAM only for read-heavy, non-transactional workloads - Use MEMORY engine for temporary tables with high-speed requirements - Use smallest data type that fits your needs - Prefer INT UNSIGNED over BIGINT when possible - Use DECIMAL for financial calculations, not FLOAT/DOUBLE - Use ENUM for fixed sets of values - Use VARCHAR for variable-length strings, CHAR for fixed-length - Always use utf8mb4 charset for full Unicode support - Use AUTO_INCREMENT integer primary keys for InnoDB tables - Consider UUIDs stored as BINARY(16) for distributed systems - Avoid composite primary keys when possible - Use B-tree indexes (default) for most queries - Use FULLTEXT indexes for text search - Use SPATIAL indexes for geographic data - Consider covering indexes for frequently executed queries - Index columns used in WHERE, JOIN, ORDER BY, and GROUP BY - Place most selective columns first in composite indexes - Avoid indexing low-cardinality columns alone - Monitor and remove unused indexes - Use...