mysql-best-practices
MySQL performance optimization and best practices. Use this skill when writing, reviewing, or optimizing MySQL queries, schema designs, or database configurations.
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--- name: mysql-best-practices description: MySQL performance optimization and best practices. Use this skill when writing, reviewing, or optimizing MySQL queries, schema designs, or database configurations. license: MIT --- # MySQL Best Practices Comprehensive performance optimization guide for MySQL, adapted from PostgreSQL best practices. Contains rules across 8 categories, prioritized by impact to guide automated query optimization and schema design. ## When to Apply Reference these guidelines when: - Writing SQL queries or designing schemas - Implementing indexes or query optimization - Reviewing database performance issues - Configuring connection pooling or scaling - Optimizing for MySQL-specific features - Working with MySQL security features ## Rule Categories by Priority | Priority | Category | Impact | Prefix | |----------|----------|--------|--------| | 1 | Query Performance | CRITICAL | `query-` | | 2 | Connection Management | CRITICAL | `conn-` | | 3 | Security | CRITICAL | `security-` | | 4 | Schema Design | HIGH | `schema-` | | 5 | Concurrency & Locking | MEDIUM-HIGH | `lock-` | | 6 | Data Access Patterns | MEDIUM | `data-` | | 7 | Monitoring & Diagnostics | LOW-MEDIUM | `monitor-` | | 8 | Advanced Features | LOW | `advanced-` | ## How to Use Read individual rule files for detailed explanations and SQL examples: ``` references/query-missing-indexes.md references/schema-partial-indexes.md references/_sections.md ``` Each rule file contains: - Brief explanation of why it matters - Incorrect SQL example with explanation - Correct SQL example with explanation - Optional EXPLAIN output or metrics - Additional context and references - MySQL-specific notes ## Full Compiled Document For the complete guide with all rules expanded: `AGENTS.md` ## MySQL vs PostgreSQL Key Differences This skill adapts PostgreSQL best practices to MySQL. Key differences: - **JSON**: MySQL uses `JSON` type (not `JSONB`), with `JSON_EXTRACT()`, `JSON_CONTAINS()` functions - **Arrays**: MySQL doesn't have native arrays; use JSON arrays or normalized tables - **Full-Text Search**: MySQL uses `FULLTEXT` indexes with `MATCH() AGAINST()` syntax - **UUIDs**: Use `CHAR(36)` or `BINARY(16)` instead of native UUID type - **String Matching**: Use `LIKE` (case-sensitive) or `LIKE BINARY` instead of `ILIKE` - **Type Casting**: Use `CAST()` function instead of `::` operator - **Window Functions**: MySQL 8.0+ supports window functions (similar to PostgreSQL) ## References - https://dev.mysql.com/doc/ - https://dev.mysql.com/doc/refman/8.0/en/optimization.html - https://dev.mysql.com/doc/refman/8.0/en/explain.html - https://dev.mysql.com/doc/refman/8.0/en/json-functions.html - https://dev.mysql.com/doc/refman/8.0/en/fulltext-search.html
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