Does FastAPI Work With MySQL?

Fully CompatibleLast verified: 2026-02-20

FastAPI and MySQL work together seamlessly through SQLAlchemy ORM or direct database drivers, making them an excellent choice for production APIs.

Quick Facts

Compatibility
full
Setup Difficulty
Easy
Official Integration
No — community maintained
Confidence
high
Minimum Versions
FastAPI: 0.68.0
MySQL: 5.7

How FastAPI Works With MySQL

FastAPI doesn't have a built-in MySQL driver, but it integrates perfectly with SQLAlchemy ORM (recommended) or mysql-connector-python for direct connections. The standard approach uses SQLAlchemy as the ORM layer with a MySQL dialect, allowing you to define models declaratively and leverage FastAPI's dependency injection system for database sessions. This pairing is particularly clean because FastAPI's async support can work with async SQLAlchemy drivers like aiomysql or asyncmy, enabling non-blocking database operations that scale well. Most developers use SQLAlchemy 2.0+ with FastAPI, managing database connections through FastAPI's dependency injection system, which handles session lifecycle automatically. The developer experience is excellent: you define Pydantic models for request/response validation and SQLAlchemy models for database persistence, keeping concerns cleanly separated. Connection pooling is critical and handled transparently by SQLAlchemy's engine configuration.

Best Use Cases

REST APIs for web applications with complex data relationships requiring ACID compliance
Microservices requiring relational data persistence with async request handling
Real-time data APIs serving multiple client types with concurrent database access
E-commerce platforms needing reliable transaction support and data integrity

Quick Setup

bash
pip install fastapi sqlalchemy asyncmy uvicorn
python
from fastapi import FastAPI, Depends
from sqlalchemy.ext.asyncio import create_async_engine, AsyncSession, async_sessionmaker
from sqlalchemy.orm import declarative_base
from sqlalchemy import Column, Integer, String

DATABASE_URL = "mysql+asyncmy://user:password@localhost/dbname"
engine = create_async_engine(DATABASE_URL, echo=True)
AsyncSessionLocal = async_sessionmaker(engine, class_=AsyncSession, expire_on_commit=False)
Base = declarative_base()

class User(Base):
    __tablename__ = "users"
    id = Column(Integer, primary_key=True)
    name = Column(String(50))

app = FastAPI()

async def get_db():
    async with AsyncSessionLocal() as session:
        yield session

@app.get("/users/{user_id}")
async def get_user(user_id: int, db: AsyncSession = Depends(get_db)):
    result = await db.execute("SELECT * FROM users WHERE id = ?", [user_id])
    return result.first()

Known Issues & Gotchas

critical

Blocking database operations can starve async event loop if using synchronous SQLAlchemy with FastAPI's async routes

Fix: Use asyncmy or aiomysql drivers with SQLAlchemy's async engine, or run sync operations in thread pool with run_in_threadpool()

warning

Connection pool exhaustion under load due to improper session management

Fix: Always use dependency injection for session management; ensure sessions are closed after each request using context managers or FastAPI's Depends()

warning

N+1 query problems when lazy-loading relationships in loops

Fix: Use SQLAlchemy's selectinload() or joinedload() strategies in queries to eagerly load relationships

info

MySQL default charset issues causing encoding problems with emoji or special characters

Fix: Specify charset=utf8mb4 in database URL and ensure MySQL tables use utf8mb4_unicode_ci collation

Alternatives

  • PostgreSQL + SQLAlchemy: More advanced features (JSON support, arrays) with identical FastAPI integration
  • MongoDB + Motor: Document-oriented alternative for unstructured data with native async Python support
  • SQLite + SQLAlchemy: Development/testing alternative with zero setup, not recommended for production

Resources

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