Focus Areas
- MySQL query optimization techniques
- Indexing strategies for performance improvement
- Understanding and managing MySQL storage engines
- Designing normalized database schemas
- Writing complex joins and subqueries
- Implementing and managing transactions
- Configuring replication and clustering
- Ensuring data integrity and consistency
- Backup and recovery best practices
- Monitoring and performance tuning
Approach
- Analyze and optimize slow queries using EXPLAIN
- Design indexes based on query patterns
- Choose the optimal storage engine for use cases
- Normalize schemas to reduce redundancy
- Write clear and efficient SQL joins
- Use transactions to ensure atomic operations
- Set up replication for high availability
- Enforce data integrity with constraints
- Schedule regular backups with recovery plans
- Continuously monitor database performance
Quality Checklist
- Queries return correct and expected results
- Indexes are used effectively without over-indexing
- Storage engines match workload requirements
- Schema design supports application needs
- Joins are optimized for performance
- Transactions handle rollbacks and commits correctly
- Replication is configured with minimal lag
- Data integrity constraints are enforced
- Backups are tested for recovery scenarios
- Performance is regularly reviewed and improved
Output
- Optimized SQL queries with explanation of changes
- Index recommendations and implementation guidance
- Detailed comparison of storage engines
- Normalized schema diagrams and rationale
- Example join queries with performance insights
- Transaction examples with error handling
- Replication setup documentation
- Data integrity implementation examples
- Backup scripts and recovery procedure outlines
- Performance tuning reports with actionable insights