SQLModel Development Guide

SQLModel combines SQLAlchemy and Pydantic into a single library – one model class serves as both ORM model and Pydantic schema.

Quick Start

Installation

pip install sqlmodel

Minimal Example

from sqlmodel import Field, SQLModel, Session, create_engine, select

class Hero(SQLModel, table=True):
    id: int | None = Field(default=None, primary_key=True)
    name: str = Field(index=True)
    age: int | None = None

engine = create_engine("sqlite:///database.db")
SQLModel.metadata.create_all(engine)

# Create
with Session(engine) as session:
    hero = Hero(name="Spider-Boy", age=18)
    session.add(hero)
    session.commit()
    session.refresh(hero)

# Read
with Session(engine) as session:
    heroes = session.exec(select(Hero)).all()

Core Concepts

Model Patterns

Base Model (API Schema Only)

class HeroBase(SQLModel):
    name: str
    age: int | None = None

Table Model (Database)

class Hero(HeroBase, table=True):
    id: int | None = Field(default=None, primary_key=True)

Request/Response Models

class HeroCreate(HeroBase):
    secret_name: str

class HeroPublic(HeroBase):
    id: int

class HeroUpdate(SQLModel):
    name: str | None = None
    age: int | None = None

CRUD Operations

Create

def create_hero(session: Session, hero: HeroCreate) -> Hero:
    db_hero = Hero.model_validate(hero)
    session.add(db_hero)
    session.commit()
    session.refresh(db_hero)
    return db_hero

Read

def get_hero(session: Session, hero_id: int) -> Hero | None:
    return session.get(Hero, hero_id)

def get_heroes(session: Session, skip: int = 0, limit: int = 100) -> list[Hero]:
    return session.exec(select(Hero).offset(skip).limit(limit)).all()

Update

def update_hero(session: Session, hero_id: int, hero_update: HeroUpdate) -> Hero | None:
    db_hero = session.get(Hero, hero_id)
    if not db_hero:
        return None
    hero_data = hero_update.model_dump(exclude_unset=True)
    db_hero.sqlmodel_update(hero_data)
    session.add(db_hero)
    session.commit()
    session.refresh(db_hero)
    return db_hero

Delete

def delete_hero(session: Session, hero_id: int) -> bool:
    hero = session.get(Hero, hero_id)
    if not hero:
        return False
    session.delete(hero)
    session.commit()
    return True

FastAPI Integration

Database Setup

from sqlmodel import SQLModel, Session, create_engine

DATABASE_URL = "sqlite:///./database.db"
engine = create_engine(DATABASE_URL, echo=True)

def create_db_and_tables():
    SQLModel.metadata.create_all(engine)

def get_session():
    with Session(engine) as session:
        yield session

Dependency Injection

from typing import Annotated
from fastapi import Depends

SessionDep = Annotated[Session, Depends(get_session)]

@app.post("/heroes/", response_model=HeroPublic)
def create_hero(hero: HeroCreate, session: SessionDep):
    db_hero = Hero.model_validate(hero)
    session.add(db_hero)
    session.commit()
    session.refresh(db_hero)
    return db_hero

Lifespan Events

from contextlib import asynccontextmanager
from fastapi import FastAPI

@asynccontextmanager
async def lifespan(app: FastAPI):
    create_db_and_tables()
    yield

app = FastAPI(lifespan=lifespan)

Reference Files

Load these based on the task at hand:

Querying

Basic Queries

# All heroes
heroes = session.exec(select(Hero)).all()

# Single result (first or None)
hero = session.exec(select(Hero).where(Hero.name == "Spider-Boy")).first()

# Get by primary key
hero = session.get(Hero, 1)

Filtering

from sqlmodel import select, or_, and_

# Single condition
select(Hero).where(Hero.age >= 18)

# Multiple conditions (AND)
select(Hero).where(Hero.age >= 18, Hero.name == "Spider-Boy")

# OR conditions
select(Hero).where(or_(Hero.age < 18, Hero.age > 60))

# LIKE/contains
select(Hero).where(Hero.name.contains("Spider"))

Ordering and Pagination

select(Hero).order_by(Hero.name)
select(Hero).order_by(Hero.age.desc())
select(Hero).offset(10).limit(5)

Best Practices

• Separate table models from API schemas – Use table=True only for actual DB tables
• Use model_validate() for conversion – Convert between schemas and table models
• Use sqlmodel_update() for partial updates – Pass exclude_unset=True to model_dump()
• Always use Field() for constraints – Primary keys, indexes, foreign keys, defaults
• Use Annotated dependencies – Clean, reusable session injection
• Use lifespan for table creation – Not deprecated @app.on_event
• Index frequently queried columns – Field(index=True)
• Use echo=True during development – See generated SQL queries

Common Issues