mysql
|
Works with
---
name: mysql
description: |
license: MIT
---
# MySQL Core Knowledge
> **Deep Knowledge**: Use `mcp__documentation__fetch_docs` with technology: `mysql` for comprehensive documentation.
## Table Definition
```sql
CREATE TABLE users (
id INT AUTO_INCREMENT PRIMARY KEY,
name VARCHAR(100) NOT NULL,
email VARCHAR(255) UNIQUE NOT NULL,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
is_active BOOLEAN DEFAULT TRUE,
INDEX idx_email (email),
INDEX idx_created (created_at)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
```
## Common Queries
```sql
-- Pagination
SELECT * FROM users
WHERE is_active = TRUE
ORDER BY created_at DESC
LIMIT 20 OFFSET 0;
-- Join
SELECT u.*, COUNT(p.id) as post_count
FROM users u
LEFT JOIN posts p ON p.user_id = u.id
GROUP BY u.id;
-- Upsert
INSERT INTO users (email, name)
VALUES (?, ?)
ON DUPLICATE KEY UPDATE name = VALUES(name);
```
## Key Differences from PostgreSQL
| Feature | MySQL | PostgreSQL |
|---------|-------|------------|
| Auto ID | `AUTO_INCREMENT` | `SERIAL` |
| Boolean | `TINYINT(1)` | `BOOLEAN` |
| Upsert | `ON DUPLICATE KEY` | `ON CONFLICT` |
| JSON | `JSON` | `JSONB` (indexed) |
## When NOT to Use This Skill
- **PostgreSQL-specific features** - Use `postgresql` skill for JSONB, arrays, window functions
- **NoSQL operations** - Use `mongodb` or `redis` skills for document/key-value stores
- **Oracle database** - Use `oracle` skill for Oracle-specific features
- **SQL Server** - Use `sqlserver` skill for T-SQL and SQL Server features
- **ORM abstractions** - Use framework-specific skills (Prisma, TypeORM, Sequelize)
## Anti-Patterns
| Anti-Pattern | Issue | Solution |
|--------------|-------|----------|
| `SELECT *` in production | Transfers unnecessary data, performance impact | Specify needed columns explicitly |
| Missing `WHERE` on UPDATE/DELETE | Modifies all rows unintentionally | Always include WHERE clause |
| Missing indexes on JOIN/WHERE columns | Full table scans, slow queries | Add indexes on frequently queried columns |
| MyISAM for transactional data | No transaction support, table-level locking | Use InnoDB engine |
| `LIKE '%pattern'` | Cannot use index, full scan | Use `LIKE 'pattern%'` or fulltext search |
| Missing `LIMIT` on large tables | Can crash application | Always paginate results |
| Using `ENUM` for frequently changing values | Requires ALTER TABLE to add values | Use lookup table instead |
| Missing foreign keys | Data integrity issues | Define proper FK constraints |
| N+1 query problem | One query per row in loop | Use JOINs or batch queries |
| Not using prepared statements | SQL injection risk, slower performance | Use parameterized queries |
## Quick Troubleshooting
| Problem | Diagnostic | Fix |
|---------|------------|-----|
| Slow queries | `EXPLAIN SELECT ...` | Add indexes, rewrite query, analyze execution plan |
| High CPU usage | `SHOW PROCESSLIST` to find slow queries | Optimize top queries, add indexes |
| Connection limit reached | `SHOW STATUS LIKE 'Threads_connected'` | Increase max_connections, use connection pooling |
| Lock wait timeout | Check `SHOW ENGINE INNODB STATUS` | Reduce transaction time, optimize queries |
| Disk space full | `SELECT table_schema, SUM(data_length+index_length) FROM information_schema.tables GROUP BY 1` | Archive old data, optimize tables |
| Replication lag | `SHOW SLAVE STATUS` | Increase resources, tune binlog settings |
| Table corruption | `CHECK TABLE table_name` | Run `REPAIR TABLE` or restore from backup |
| Deadlocks | Check error log and `SHOW ENGINE INNODB STATUS` | Reduce transaction scope, access tables in same order |
## Reference Documentation
- [Indexes](quick-ref/indexes.md)
- [JSON](quick-ref/json.md)More Database skills
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Postgres best practices maintained by Supabase, for Postgres running anywhere. Load this skill BEFORE writing or changing anything that lives in a Postgres database: creating or altering tables and columns (including choosing column types), schema design, migrations and declarative schema files, RLS policies and the tests that verify them, indexes, triggers, database functions, queues and scheduled jobs (pg_cron, pgmq), vector/semantic search (pgvector), and restoring dumps (pg_restore) or importing data. Also load it when diagnosing slow queries, high CPU, timeouts, EXPLAIN plans, connection exhaustion, locking, bloat, or rows visible to the wrong user or tenant. This is not just a performance guide — schema, migration, security, and SQL authoring tasks need these rules too, even for a one-column change or a single query.
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