MySQL Best Practices
Core Principles
- 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
Schema Design
Storage Engine Selection
- 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
Data Types
- 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
Primary Keys
- Use AUTO_INCREMENT integer primary keys for InnoDB tables
- Consider UUIDs stored as BINARY(16) for distributed systems
- Avoid composite primary keys when possible
Indexing Strategies
Index Types
- 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 Guidelines
- 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
Query Optimization
EXPLAIN Analysis
- Use EXPLAIN to analyze query execution plans
- Look for full table scans (type: ALL)
- Check for proper index usage
- Monitor rows examined vs rows returned
Query Best Practices
- Avoid SELECT * in production code
- Use LIMIT for pagination
- Prefer JOINs over subqueries when possible
- Use prepared statements for repeated queries
Avoiding Common Pitfalls
JSON Support
- Use JSON data type for semi-structured data (MySQL 5.7+)
- Create generated columns for frequently accessed JSON fields
- Use appropriate JSON functions for queries
Transaction Management
- Use InnoDB for transactional tables
- Keep transactions short to minimize lock contention
- Choose appropriate isolation level
- Handle deadlocks gracefully
Replication and High Availability
Read Replicas
- Direct read queries to replicas
- Use connection pooling with read/write splitting
- Monitor replication lag
Security
- Use strong passwords and secure connections (SSL/TLS)
- Apply principle of least privilege
- Use prepared statements to prevent SQL injection
- Audit sensitive operations

