mysql-best-practices

MySQL development best practices for schema design, query optimization, and database administration. - Covers schema design with InnoDB as default engine, appropriate data types (DECIMAL for financial data, utf8mb4 charset), and primary key strategies including AUTO_INCREMENT and UUID storage - Indexing strategies including B-tree, FULLTEXT, and covering indexes with guidelines on column selectivity and composite index ordering - Query optimization using EXPLAIN analysis, prepared statements, keyset pagination, and avoiding common pitfalls like functions on indexed columns and implicit type conversions - Transaction management, JSON support with generated columns, replication monitoring, and security practices including user privilege management and SSL/TLS requirements - Maintenance tasks covering table analysis, optimization, integrity checks, and monitoring queries for slow performance and InnoDB status - 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...