sqlalchemy
TypeScript/Node.js Projects: Use prisma, drizzle, or typeorm skills; Django Applications: Use Django ORM documentation (not covered here); Raw SQL Queries: Use database-query MCP server for direct SQL execution
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---
name: "sqlalchemy"
description: "TypeScript/Node.js Projects: Use prisma, drizzle, or typeorm skills; Django Applications: Use Django ORM documentation (not covered here); Raw SQL Queries: Use database-query MCP server for direct SQL execution"
license: "MIT"
---
# SQLAlchemy Core Knowledge
> **Deep Knowledge**: Use `mcp__documentation__fetch_docs` with technology: `sqlalchemy` for comprehensive documentation.
## When NOT to Use This Skill
- **TypeScript/Node.js Projects**: Use `prisma`, `drizzle`, or `typeorm` skills
- **Django Applications**: Use Django ORM documentation (not covered here)
- **Raw SQL Queries**: Use `database-query` MCP server for direct SQL execution
- **NoSQL Databases**: Use `mongodb` skill for MongoDB operations
- **FastAPI Specific**: May need `fastapi-expert` for integration patterns
- **Database Design**: Consult `sql-expert` or `architect-expert` for schema architecture
- **Other Python ORMs**: Peewee, Pony ORM, Tortoise not supported by this skill
## Model Definition
```python
from sqlalchemy import Column, Integer, String, Boolean, DateTime, ForeignKey
from sqlalchemy.orm import relationship, DeclarativeBase
from datetime import datetime
class Base(DeclarativeBase):
pass
class User(Base):
__tablename__ = 'users'
id = Column(Integer, primary_key=True)
name = Column(String(100), nullable=False)
email = Column(String(255), unique=True, nullable=False)
is_active = Column(Boolean, default=True)
created_at = Column(DateTime, default=datetime.utcnow)
posts = relationship('Post', back_populates='author')
class Post(Base):
__tablename__ = 'posts'
id = Column(Integer, primary_key=True)
title = Column(String(255), nullable=False)
content = Column(String)
author_id = Column(Integer, ForeignKey('users.id'))
author = relationship('User', back_populates='posts')
```
## Session Operations
```python
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
engine = create_engine('postgresql://user:pass@localhost/db')
Session = sessionmaker(bind=engine)
# Create
with Session() as session:
user = User(name='John', email='john@example.com')
session.add(user)
session.commit()
# Read
with Session() as session:
users = session.query(User).all()
user = session.query(User).filter_by(id=1).first()
active_users = session.query(User).filter(User.is_active == True).all()
# Update
with Session() as session:
user = session.query(User).filter_by(id=1).first()
user.name = 'Jane'
session.commit()
# Delete
with Session() as session:
session.query(User).filter_by(id=1).delete()
session.commit()
```
## Async Support
```python
from sqlalchemy.ext.asyncio import create_async_engine, AsyncSession
from sqlalchemy.orm import sessionmaker
engine = create_async_engine('postgresql+asyncpg://user:pass@localhost/db')
async_session = sessionmaker(engine, class_=AsyncSession, expire_on_commit=False)
async def get_users():
async with async_session() as session:
result = await session.execute(select(User))
return result.scalars().all()
```
## Anti-Patterns
| Anti-Pattern | Why It's Bad | Better Approach |
|-------------|--------------|------------------|
| Not closing sessions | Connection leaks, pool exhaustion | Use context managers (`with Session()`) |
| Using `session.query()` in SQLAlchemy 2.0+ | Deprecated, legacy API | Use `select()` with `session.execute()` |
| No eager loading for relations | N+1 query problem | Use `selectinload()` or `joinedload()` |
| Hardcoded connection strings | Security risk | Use environment variables |
| Not configuring connection pool | Connection issues, performance | Set `pool_size`, `max_overflow`, `pool_recycle` |
| Using `session.flush()` without understanding | Partial commits, confusion | Use `commit()` for transactions |
| No `pool_pre_ping` in production | Stale connections after DB restart | Enable `pool_pre_ping=True` |
| Missing indexes on foreign keys | Slow joins | Add `Index()` to frequently joined columns |
| Using ORM for bulk operations | Very slow for large datasets | Use `bulk_insert_mappings()` or Core |
| Not handling `IntegrityError` | Cryptic errors to users | Catch and provide meaningful messages |
## Quick Troubleshooting
| Issue | Likely Cause | Solution |
|-------|--------------|----------|
| "No module named 'sqlalchemy'" | SQLAlchemy not installed | Run `pip install sqlalchemy` |
| "Can't connect to server" | Wrong DATABASE_URL or DB down | Verify connection string, check DB status |
| "Table doesn't exist" | Migrations not run | Execute `alembic upgrade head` |
| "DetachedInstanceError" | Accessing relation outside session | Use `joinedload()` or keep session open |
| "IntegrityError: duplicate key" | Unique constraint violation | Check for existing record, handle error |
| "InvalidRequestError: SQL expression" | Missing `select()` in 2.0 style | Use `select(Model)` not `session.query()` |
| Slow queries | N+1 problem, missing indexes | Add eager loading, create indexes |
| Pool timeout | Too many connections | Increase `pool_size`, fix connection leaks |
| "Stale data" | Session caching old data | Call `session.expire_all()` or refresh objects |
| Alembic conflict | Multiple migration heads | Merge branches with `alembic merge` |
## Production Readiness
### Engine Configuration
```python
# database.py
from sqlalchemy import create_engine, event
from sqlalchemy.orm import sessionmaker, scoped_session
from sqlalchemy.pool import QueuePool
import os
DATABASE_URL = os.environ['DATABASE_URL']
engine = create_engine(
DATABASE_URL,
poolclass=QueuePool,
pool_size=20,
max_overflow=10,
pool_timeout=30,
pool_recycle=1800, # Recycle connections after 30 minutes
pool_pre_ping=True, # Check connection validity
echo=os.environ.get('DEBUG') == 'true',
connect_args={
'sslmode': 'require' if os.environ.get('ENV') == 'production' else 'prefer',
'connect_timeout': 10,
}
)
# Event listeners for monitoring
@event.listens_for(engine, 'before_cursor_execute')
def before_cursor_execute(conn, cursor, statement, parameters, context, executemany):
conn.info.setdefault('query_start_time', []).append(time.time())
@event.listens_for(engine, 'after_cursor_execute')
def after_cursor_execute(conn, cursor, statement, parameters, context, executemany):
total = time.time() - conn.info['query_start_time'].pop()
if total > 0.5: # Log slow queries
logger.warning(f'Slow query ({total:.2f}s): {statement[:100]}')
SessionLocal = sessionmaker(bind=engine)
ScopedSession = scoped_session(SessionLocal)
```
### Context Manager Pattern
```python
from contextlib import contextmanager
from typing import Generator
@contextmanager
def get_db() -> Generator[Session, None, None]:
"""Database session context manager with automatic cleanup."""
session = SessionLocal()
try:
yield session
session.commit()
except Exception:
session.rollback()
raise
finally:
session.close()
# Usage
def create_user(name: str, email: str) -> User:
with get_db() as db:
user = User(name=name, email=email)
db.add(user)
db.flush() # Get ID without committing
return user
```
### Async Configuration
```python
from sqlalchemy.ext.asyncio import create_async_engine, AsyncSession, async_sessionmaker
async_engine = create_async_engine(
DATABASE_URL.replace('postgresql://', 'postgresql+asyncpg://'),
pool_size=20,
max_overflow=10,
pool_recycle=1800,
echo=False,
)
async_session = async_sessionmaker(
async_engine,
class_=AsyncSession,
expire_on_commit=False,
)
async def get_async_db() -> AsyncGenerator[AsyncSession, None]:
async with async_session() as session:
try:
yield session
await session.commit()
except Exception:
await session.rollback()
raise
```
### Query Optimization
```python
from sqlalchemy.orm import joinedload, selectinload
from sqlalchemy import select
# Eager loading to avoid N+1
async def get_users_with_posts(db: AsyncSession):
stmt = (
select(User)
.options(selectinload(User.posts))
.where(User.is_active == True)
)
result = await db.execute(stmt)
return result.scalars().all()
# Pagination
async def paginate(
db: AsyncSession,
page: int,
per_page: int
) -> dict:
offset = (page - 1) * per_page
# Count
count_stmt = select(func.count(User.id))
total = await db.scalar(count_stmt)
# Data
stmt = (
select(User)
.order_by(User.created_at.desc())
.offset(offset)
.limit(per_page)
)
result = await db.execute(stmt)
return {
'data': result.scalars().all(),
'total': total,
'page': page,
'pages': math.ceil(total / per_page),
}
# Bulk insert
def bulk_insert_users(db: Session, users_data: list[dict]):
db.execute(insert(User), users_data)
db.commit()
```
### Alembic Migrations
```python
# alembic/env.py
from sqlalchemy import engine_from_config, pool
from alembic import context
from models import Base
target_metadata = Base.metadata
def run_migrations_online():
connectable = engine_from_config(
config.get_section(config.config_ini_section),
prefix='sqlalchemy.',
poolclass=pool.NullPool,
)
with connectable.connect() as connection:
context.configure(
connection=connection,
target_metadata=target_metadata,
compare_type=True,
compare_server_default=True,
)
with context.begin_transaction():
context.run_migrations()
# CLI commands
# alembic revision --autogenerate -m "Add users table"
# alembic upgrade head
# alembic downgrade -1
```
### Testing
```python
# conftest.py
import pytest
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
@pytest.fixture(scope='session')
def engine():
return create_engine(os.environ['TEST_DATABASE_URL'])
@pytest.fixture(scope='session')
def tables(engine):
Base.metadata.create_all(engine)
yield
Base.metadata.drop_all(engine)
@pytest.fixture
def db(engine, tables):
connection = engine.connect()
transaction = connection.begin()
Session = sessionmaker(bind=connection)
session = Session()
yield session
session.close()
transaction.rollback()
connection.close()
# tests/test_user.py
def test_create_user(db):
user = User(name='Test', email='test@example.com')
db.add(user)
db.flush()
assert user.id is not None
```
### Monitoring Metrics
| Metric | Target |
|--------|--------|
| Query time (p99) | < 100ms |
| Pool connections | < max_size |
| Slow queries | 0 (> 500ms) |
| Connection errors | 0 |
### Checklist
- [ ] Connection pooling configured
- [ ] SSL in production
- [ ] pool_pre_ping enabled
- [ ] pool_recycle for long-running apps
- [ ] Context manager for sessions
- [ ] Eager loading to prevent N+1
- [ ] Pagination for list queries
- [ ] Alembic migrations
- [ ] Slow query logging
- [ ] Test isolation with rollback
## Reference Documentation
- [Relationships](quick-ref/relationships.md)
- [Async](quick-ref/async.md)More General & Other skills
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